• FAQ
FAQ

General#

What is SUMO?#

SUMO is a traffic simulation package. It is meant to be used to simulate networks of a city's size, but you can of course use it for smaller networks and larger, too, if your computer power is large enough.

What does "SUMO" mean?#

"SUMO" is an acronym for "Simulation of Urban MObility".

What kind of a traffic simulation is SUMO?#

SUMO is mainly a microscopic, space-continuous road traffic simulation. It supports multi-modal and inter-modal ground based traffic. SUMO models individual vehicles and their interactions using models for car-following, lane-changing and intersection behavior. It also uses pedestrian models to simulate the movement of persons and their interactions with vehicles.

To allow for the efficient simulation of very large scenarios, it is also possible to run SUMO as a mesoscopic simulation.

SUMO also supports macroscopic traffic assignment using the marouter application.

What is the best way to read the documentation and find out about specific topics#

The main page for getting an overview over the various topics is the outline SUMO User Documentation. If you do not find the topic of interest listed there use the site search. Alternatively, use a general purpose search engine as this will also include the mailing list archives.

Are there any tutorials or ready to use scenarios?#

The main page for tutorials lists several for beginners and advanced topics, there are also some videos on YouTube. For scenarios have a look at our scenario page.

How can I contribute to SUMO?#

How do code contributions work?#

We need to make sure that you have the necessary rights on the code and that you agree that your contribution is put under the Eclipse Public License v2. The easiest way to do achieve this is

  • Create a GitHub account
  • Configure the git client on your computer to use the email address that you used when registering for your account:
git config --global user.email "email@example.com"
  • Create an Eclipse account if you do not already have one. Make sure to use the same email address as for GitHub
  • Fill out a simple online form, called the Eclipse Contributor Agreement (ECA, this is mandatory)
  • Fork the sumo repository on GitHub
  • Clone the forked repository to your computer
git clone https://github.com/yourgithubid/sumo.git
  • Modify the files in the created sumo clone directory
  • From within this directory Commit your changes with
git add src
git commit -m "your change message" -s

Caution

the option -s must be used so the contribution can be accepted in accordance with Eclipse rules

  • Push your changes to your fork on GitHub with
git push

How do I contribute to the documentation?#

The documentation is part of the code repository so the same rules as in the previous question apply. If you just want to have a simple typo fixed you can always drop us a line at sumo@dlr.de or at sumo-dev@eclipse.org.

How do I cite SUMO#

Cite using "Microscopic Traffic Simulation using SUMO"; Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner. IEEE Intelligent Transportation Systems Conference (ITSC), 2018.

How do I unsubscribe from the mailing list?#

Go to https://www.eclipse.org/mailman/listinfo/sumo-user. At the bottom of the page you will find a form that allows you to enter your email address to unsubscribe it from the list.

General Problem Solving#

An application crashed. What should I do?#

The applications in the SUMO suite may crash when running out of memory. Monitor the memory usage of your applications to check whether that may be your problem. 32bit-applications may only use 2GB of RAM. Use the 64bit version and ensure sufficient memory on your machine in order to work with larger files. If this does not fix the crash, please report this as a bug as explained below.

Why does SUMO not behave as documented here?#

This documentation refers to the latest development version. This is usually quite close to the latest release (differences are explicitly listed in the ChangeLog). If you are using an older version of SUMO, you need to refer to the documentation that is packaged with that version. Note that we do not back-port bugfixes to older version of SUMO. If possible you should always use the latest version of SUMO.

There is an error message but I don't know what I did wrong#

Activate XML-Validation on your input files. If that does not solve your problem feel free to ask on the mailing list but please remember to copy / screenshot the error message itself and attach it to your question. Attaching (zipped!) input files for reproducing the error message is also a good idea (see question above). When sending screenshots of sumo-gui, please include the whole screen so the application version and simulation time are visible.

How do I report erroneous behavior of a SUMO application?#

If you suspect a bug in one of the applications you should collect the following information

  • a description of the SUMO-version and the operating system you are using
  • a screenshot or error output showing the unexpected behavior (this may allow us to diagnose the problem at a single glance). When sending screenshots of sumo-gui, please include the whole screen so the application version and simulation time are visible.
  • the complete input files for reproducing the error (i.e. a .sumocfg and all files referenced therein) in a zip-archive.
  • if your use case involves TraCI, please reduce your script to the bare minimum that is needed to show the problem. Then either include the script itself or generate a log of all traci commands and include this.
  • Please remove unnecessary inputs (i.e. only 2 vehicles instead of 2000) and try to find the minimum input example which still shows the problem. This includes cutting the network (or inputs) using netedit or osmconvert
  • a description at which time step (for simulations) and on which edge/junction the problem occurs

Provide these items either by opening up a new issue on github and attaching the files there or by sending the files to the mailing list

Note

If you are using an older version of SUMO, please also report whether the problem shows up with the latest release.

Note

If your attachments are rejected by the mailing list due to their size (max 100Kb), upload them to a file hosting service and send the link. Alternatively, send them directly, rather than via the list.

SUMO does not do what I want and I don't know how to solve the issue#

See above but please give enough details when asking on the mailing list.

What should I do to get helpful answers on the mailing list or on the issue tracker?#

  • Make your question specific
    • avoid vague terms.
    • Always name the SUMO version to which your question applies
    • Include relevant warnings/errors/stack-traces in your question
  • whenever possible copy text rather than screenshots of text
  • When sending screenshots of sumo-gui or netedit, please include the whole screen so the application version and simulation time are visible.
  • Attach scenario files including .sumocfg as a zip archive
    • make sure that your scenario is not random (avoid option --random)
    • if your setup involves TraCI and your (python) runner program is slightly complicated or has further dependencies, attach a TraCI-traceFile instead of your whole traci script.
  • describe what you are trying to accomplish
  • describe how what you see differs from your expectations
  • Phrase your question using familiar terms (not everyone is an expert in your domain).
  • Don't ask for too many things in a single post / issue.
  • Do some research on your own before you post the question (otherwise you may appear to be lazy).
  • Do not ask the same thing twice in a short span of time. If you are in a hurry and cannot get an answer, try to change your question according to the above suggestions.
  • if you put your question into an issue an the issue was closed, put your follow-up questions into the closed issue rather than open an new issue
  • Be polite
  • Good Example questions:
    • How can I get data X out of SUMO?
    • How can I influence aspect Y of a simulation?
    • My simulation aborted with error "<ERROR MESSAGE GOES HERE>". What does that mean?
    • My simulation does Z though I expected it to do X. How do I fix that?

I asked a question on the mailing list and did not get an answer within X days. Why?#

Community support is provided on a best effort basis. Questions are mostly answered by the developers when they find time between their projects. Thus, response times can vary between hours and weeks (especially during holidays). Sometimes, when there is a high volume of questions on the mailing list, your question may have been lost. Feel free to repost your question if you did not get an answer within a week. Response times also vary with the difficulty of the question (because the person answering it needs to find a bigger time slice to tackle the problem). Also, follow the advice given above when phrasing your questions to increase the chance for quick answers.

I want to do a project with SUMO can you help me with the implementation?#

Unfortunately, we do not have the resources to do other peoples projects for free. Contact us for paid consultancy at sumo@dlr.de. We try to help out with bugs and give pointers to the relevant documentation but this free support is limited to what we can do in our spare time.

TraCI#

My TraCI-program is to slow. What can I do?#

TraCI communicates over sockets and this communication is slow. You can often reduce the number of TraCI commands via the following strategies.

- store results that do not change (i.e. vehicle length) rather than retrieving them again repeatedly - use subscriptions or context subscriptions to reduce the number of 'get' commands for things that you need in every step

Even larger gains can be hand by switching to libsumo. This can be done with a single line of code and completely eliminates the slow socket communication.

My TraCI-program is not working as intended. Can you help me debug it?#

Unfortunately, we do not have the resources to debug other peoples code. If you suspect a bug in TraCI itself, the general rules of bug-reporting apply. Feel free to post your code to the mailing list as there may be other programmers present who could help. Be aware that someone who wants to reproduce your problem needs all your input files to do so.

My TraCI-program is not working as intended. How do I debug it?#

When using TraCI there are two processes that can raise errors: SUMO and the TraCI script being run. Here are some guidelines for figuring out what is happening:

  • The SUMO error connection reset by peer indicates a problem in the script. The python stack trace should point to the problem (in the simplest case, the script ends without calling traci.close())
  • The error TraCIFatalError connection closed by SUMO indicates a problem with SUMO
  • The error TraCIException indicates a minor problem with the script. (e.g. asking for a vehicle that does not exist). This type of error can be safely handled by the script with try/except
  • It is a good idea to run sumo with the option --log <FILE> to figure out what went wrong in a simulation run or why the simulation aborted.
  • If SUMO crashes (just stops instead of quitting with an error message) you can run sumo in a debugger while executing your script and send the stack trace to the developers.

Error: tcpip::Storage::readIsSafe: want to read 8 bytes from Storage, but only 4 remaining#

The TraCI protocol changed in version 1.0.0. Please make sure that TraCI client version and SUMO version match. When using SUMO version 1.0.0 or larger you cannot use traci version 17 or lower (check by calling traci.getVersion())

Features#

Does SUMO support traffic within the junctions?#

Yes, SUMO supports inner-junction traffic since version 0.9.5.

Is it possible to connect SUMO to an external application (f.e. ns-2)?#

There are several approaches to do this, see TraCI and Topics/V2X

Can SUMO simulate lefthand traffic?#

Yes. It is supported since version 0.24.0. To create a new network for lefthand traffic, the option --lefthand must be set.

To convert an existing network to lefthand driving, there are two options. Abstract networks (no geo-reference, coordinates do not matter much) can be processed with netconvert:

    netconvert -s righthand.net.xml --flip-y-axis -o lefthand.net.xml

To convert an existing network and preserve coordinates, the network must first be disaggregated into nodes and edges and then re-assembled:

    netconvert -s righthand.net.xml --plain-output-prefix righthand
    netconvert -e righthand.edg.xml -n righthand.nod.xml --lefthand -o lefthand.net.xml

Can SUMO generate movement traces?#

Yes. This is accomplished by using the traceExporter tool to convert SUMO outputs into the appropriate format. Also see Topics/V2X

Can SUMO simulate heterogeneous traffic / lane-free traffic ?#

Yes (since version 0.27.0). The Sublane-Model is activated by setting the option --lateral-resolution <FLOAT>.

Can SUMO simulate driving in reverse?#

No. While it is possible to move a vehicle backwards using TraCI, other vehicles will not react in a sensible manner to this.

Can SUMO simulate driving through the oncoming lane?#

Yes. (since version 0.27.0). The opposite-direction-driving feature is activated by using a network with additional information.

Can SUMO be run in parallel (on multiple cores or computers)?#

The simulation itself runs on a single core. However, routing in sumo or duarouter can be parallelized by setting the option --device.rerouting.threads <INT> and --routing-threads <INT> respectively. When these options are used, multiple cores on the machine are used.

There is no support for multi-node parallelization.

When running sumo-gui, an additional thread is used for visualization.

The python TraCI library allows controlling multiple simulations from a single script either by calling traci.connect and storing the returned connection object or by calling traci.start(label=...) and retrieving the connection object with traci.getConnection(label).

The work to make the core (microscopic) simulation run in parallel is ongoing (Issue #4767). Some parts of the simulation can already be run in parallel when setting option --threads but this does not lead to meaningful speedup yet.

Building / Installation#

How do I access the code repository?#

SUMO uses git for version control and is available on GitHub. Subversion is not supported anymore. There are plenty of git clients for all platforms. If you use the command line client, you can checkout sumo using the following command:

git clone --recursive https://github.com/eclipse-sumo/sumo

If you want to see the full project history in your git checkout please change to the created directory and call

git fetch origin refs/replace/*:refs/replace/*

For later updates go inside the sumo directory, which has been created, and simply type git pull.

Is there further documentation on Git?#

There is the Git book and the GitHub help is also worth reading.

How to get an older version of SUMO?#

see Alternative download and older releases. On Linux, older versions must be built from source.

How to check out revision 5499 (or any other outdated sumo)?#

You can use the following command to find the correct git hash for a subversion revision: git log | grep trunk@5499 -B 10 in your (git) bash. You have to consult your client's documentation if you use a graphical interface. Please be aware of the fact that we can only give very limited support for older versions.

Which platforms are supported?#

We compile regularly under Windows 10 using Visual Studio 2019 and have daily builds on Linux. SUMO can also be installed on macOS via Homebrew (or built from source).

Which python version and package manager should I use?#

Any Python version which still receives updates should be fine. If you have the choice, use the one before the latest. Please try to install a vanilla python and use only pip or the package manager of your system (e.g. apt). Do not use Anaconda or any derivatives thereof! It tends to break the library search path so the binaries like sumo will not work anymore (and self compiling will not fix it).

Can I run multiple versions of SUMO alongside each other?#

Different versions of SUMO generally do not interfere with each other. When setting environment variables such as SUMO_HOME or PATH, care must be taken to reference the desired directory. On linux, the package manager will generally only offer a single version. All other versions must be built from source.

Letters and words are represented as squares in sumo-gui and netedit#

Make sure that your computer supports 3D Acceleration and graphical drivers are correctly installed and configured. It will probably not work on machines accessed via RDP or a similar remote desktop protocol.

Troubleshooting#

See Installing/Linux Build, Installing/macOS Build or Installing/Windows Build.

Uninstalling#

In most cases you can simply delete the sumo folder. If you installed sumo via a package manager on linux, uninstall it via the package manager as well.

Basic Usage#

What measures are used/represented?#

All time values are given in seconds. All length values are given in meters. This means that speed should be given in m/s, etc. Currently, the default simulation time step is one second long (to be exact: in each simulation step one second real time is simulated).

What does the following error mean?#

Warning: No types defined, using defaults... Error: An exception occurred! Type:RuntimeException, Message:The primary document entity could not be opened. Id=<PATH> Error: (At line/column 1/0). Error: Quitting (conversion failed). Answer: Simply that the file you try to use (<PATH>) does not exist. This is xerces' way to say "file not found".

How do I work around a file not found / command not found error?#

To run the command-line programs your operating system must be able to find them. If you are using Windows please consult Basics/Basic Computer Skills#running_programs_from_the_command_line If you are using Linux run export PATH=$PATH:/path/to/sumo/bin (replace /path/to/sumo/bin with the path to the bin directory of your sumo installation)

How do I work around missing dll errors on Windows?#

Install MSVC Redistributable (Old versions of SUMO may also require older MSVC Redistributables)

What is the meaning of the different exit codes (linux command line)#

0 is success, 1 is a recognized error and anything above is an unorderly termination (crash). If you see exit codes other than 0 or 1 please tell us about it

What's the deal with schema resolution warnings / xsd errors?#

Since version 0.20.0 sumo performs XML-validation on input files with schema information. This helps to detect common mistakes during manual preparation of XML input files. Files generated by sumo applications such as duarouter always add schema information. The schema files which are needed for checking are retrieved from the local sumo installation if the environment variable SUMO_HOME is set. Otherwise the files will be retrieved from sumo.dlr.de which is slower. Validation can be disabled by using the option --xml-validation never or by deleting the schema information at the top of the XML input file(s).

What causes ''Error: unable to resolve host/address 'sumo.dlr.de' ''?#

This is related to XML-validation (see above). When the the environment variable SUMO_HOME is not set, applications will try to retrieve the xsd schema files online. If there is no internet connection. The above error results. The solution is to either

  • disable validation or
  • declare SUMO_HOME or
  • ensure internet connectivity

Why can my input-XML files not be read even though they look OK to me?#

Errors such as

Error: attribute name expected at
At line/column 10/46

can be caused by non-printing characters in the XML-file. Open your XML-file in a document editor and activate the option for showing line-breaks and other non-printing characters to find them.

Why do I get errors about missing files / file not found even though the file exists?#

SUMO versions before 1.0.0 use the space character to separate file paths. This means it will not be able to load files with a path such as C:\Program Files\foo.xml even when adding quotation marks. Since 1.0.0 the ',' (comma) is used so these paths should work. Additionally, SUMO may fail to load files if the name contains characters outside the basic ASCII set.

Windows 10 is blocking the execution of sumo-gui and netedit. How come?#

Executable files downloaded from the internet may trigger the windows 10 security warning. You can work around this by clicking on the 'More Info' Text and then selecting 'Run Anyway' in the subsequent dialog.

what about warning: pj_obj_create: Cannot find proj.db#

This warning concerns the database of named projections (EPSG codes) and gridshifts for the proj library. Unless performing fancy coordinate transformations (i.e. with netconvert) or trying to import unusual network files, the warning can be safely ignored. Otherwise, it should help to set the PROJ_DATA environment variable.

netconvert#

I made changes to the .net.xml-file but it did not work as expected. Why?#

As a general rule, you should never modify the .net.xml file directly nor try to generate one with a custom process. There are lots of subtle interdependencies between network elements which are hard to get right with manual modifications. Even if your .net.xml can be loaded by sumo it could fail in ways that are less obvious:

  • By having right-of-way rules that work somewhat differently than expected (this part of the .net.xml file is particularly complex)
  • By losing properties when later being edited with netedit
  • By failing to work with updated versions of sumo

If you need to modify a network there are several possibilities:

  1. Edit the network with netedit
  2. Modify the original input files and then rebuild the net with netconvert.
  3. Patch the network with netconvert. You can load a .net.xml file together with small XML-files to patch individual edges, nodes and connections. Additional possibilities are described here. For changing traffic light plans or timings see Simulation/Traffic_Lights. If you cannot figure out how to accomplish the desired changes this way, contact us!.
  4. Use netconvert-option --plain-output-prefix to convert the network into it's plain XML representation. Then modify these files and rebuild the network

If you need to build a network from custom input data it is recommended to generate plain-xml-files (nodes, edges, connections) with a custom process and build your network with netconvert from these files. These input files allow for many customization of geometrical and structural network properties. If you cannot get them to represent the network you need, ask for help on the mailing list. Alternatively you could also add another import module to netconvert (which we would be happy to integrate if possible).

Caution

In contrast, generating a network directly has been a dead-end for more than one project. You have been warned.

My network looks ugly, All the junction shapes are wrong. How come?#

This currently happens up to version 0.23.0 if you import networks with left-handed traffic. See #Can_SUMO_simulate_lefthand_traffic?.

Some junctions in my network look ugly. What can I do?#

See Joining Junctions. If that doesn't help, check for invalid edge geometry. A sharp turn in front of an intersection (even if the segment is only centimeters long) may mess up the shape computation. Read the netconvert warnings about sharp angles and consider using netconvert option --geometry.min-radius.fix. If that still doesn't help you may specify the shape of the junction manually using the shape-attribute.

Can I import the free network of Osnabrück "Frida"?#

Yes and no. You can import it using netconvert, a description is available at Networks/Import/ArcView. This may be a good gis-network but lacks some needed information in order to be usable for simulations (see discussion at the link above).

Are there any other free networks available I can use?#

See Networks/Import/OpenStreetMap

The application hangs after a while (few memory consumption, most of the system time) (Windows)#

You are probably running a program compiled in the debug-mode. This yields in at least the triple of normal memory usage and your system may not be able to solve. Try to use the normal version, build in Release-mode (or buy more RAM :-) ).

Many errors of the form Edge's 'x' from- and to-node are at the same position#

You are probably trying to import a network with geo-coordinates without specifying a geo-projection. Add option --proj.utm.

Many errors of the form Error: Type 'x' used by edge 'y' was not defined#

You are probably trying to re-import an OSM-network written to plain XML data. Add --ignore-errors.edge-type or provide a type file.

Error: SUMO was compiled without GDAL support#

The default windows release is currently provided without GDAL support due to EPL2 Licensing issues. If you need to import shapefiles, either use the Linux version or download the nightly-extra version

netedit#

How can I edit lane attributes?#

see inspecting lanes

How can I edit connection attributes?#

see inspecting connections

Note

Connection mode is only used for adding and removing connections but not for editing connection attributes

Traffic Demand Generation#

How do I generate random routes?#

First of all you should know that random routes are probably quite unrealistic. If you wish to use them anyway, use the script <SUMO_HOME>/tools/trip/randomTrips.py to generate random trips as explained here Tools/Trip#randomTrips.py.

You can also call the script without options to get additional help. See Demand/Shortest or Optimal Path Routing#Usage_Examples for more information on turning trips into routes.

How do I maintain a constant number of vehicles in the net?#

There are different methods for accomplishing this. In either case the simulation itself should be constraint using options --begin, --end.

  • You can generate long trips going around the network with lots of detours. This can be accomplished using randomTrips.py by setting the options below. If the network contains disconnected parts, not all random trips will be viable. In this case, simply generate more trips and delete superfluous vehicles from the output route file.
    • --begin <your desired begin time>
    • --end <begin + time in which vehicles shall be inserted to then network>
    • --period <(end - begin) / number of vehicles desired>
    • --intermediate <INT> set to a large value to ensure that vehicles remain in the simulation long enough
    • -r <output route file>
  • You can define a circular route with attribute repeat="X" where X is sufficiently large to cover the intended simulation time.
  • You can use the option --max-num-vehicles to set the desired number. Vehicle insertions are delayed whenever this number would be exceeded. To avoid a large number of delayed vehicles it is recommended to also use the option --max-depart-delay. When using this approach you must ensure that there is a sufficient number of vehicles that are ready for insertion at all times. Note, that the number of distinct vehicle IDs over the whole simulation is much larger the specified value because some vehicles leave the simulation and new vehicles with distinct IDs are inserted to replace them.
  • You can use rerouters in the simulation. Rerouters, assign a new route for vehicles driving across them and thus prevent them from leaving the network. For an example with a simple circle see <SUMO_HOME>/tests/sumo/cf_model/drive_in_circles
    • The tool generateContinuousRerouters.py can be used to generate rerouters for continuous operation with configurable turning ratios.
    • If the network is not circular to begin with (i.e a single road) you can make the network circular in a non-geometrical way by adding a return edge and declaring its length to be very short (minimum 0.1m). The return edge should have a sensible geometry (i.e. a detour loop) but the length can be made very short so that it does not affect vehicle routes.

Caution

Up to version 0.24.0, option --max-num-vehicles terminates the simulation when exceeding the specified number

A vehicle cannot reach its target or takes a circuitous route. Why?#

Unexpected routes are often caused by invalid lane-to-lane connections or vClass-restrictions. Even if there are some lanes on every edge that permit the vehicle, they may not be connected. If the vehicle has the default type, it will ignore access restrictions and travel on all lanes. The netcheck tool can be used to visualize connectivity from a starting edge and to discover missing connections. It may be necessary to delete some detour edges from the network to discover the relevant connectivity boundaries.

To investigate connectivity sumo-gui can be made to show lane-to-lane connections when customizing the visualization options for junctions. To investigate lane-permission issues, the menu option Edit->Select lanes which allow... can be used for visualizing selected permissions.

How do I generate SUMO routes from GPS traces?#

The answer largely depends on the quality of your input data mainly on the frequency / distance of your location updates and how precise the locations fit your street network. In the best case there is a location update on each edge of the route in the street network and you can simply read off the route by mapping the location to the street. This mapping can be done using the python sumolib coming with sumo, see Tools/Sumolib#locate_nearby_edges_based_on_the_geo-coordinate

Duarouter supports mapping of x,y and lon,lat coordinates using the attributes fromXY, fromLonLat and their relatives. For high-quality GPS data it is sufficient to define <trip id="myVeh" viaLonLat="Lon0,Lat0 Lon1,Lat1 Lon2,Lat2 ..." depart="0"/>

This will fail when there is an edge in the route which did not get hit by a data point or if you have a mismatch (for instance matching an edge which goes in the "wrong" direction). In the former case you can easily repair the route using duarouter with --repair (happens automatically when using via-coordinates).

Another small script which helps here is Tools/Routes#tracemapper.py. You can also use the map matching plugin from Contributed/SUMOPy here.

For more complex cases (i.e. large temporal gaps or spatial errors) the problem is known as Map Matching. Open source tools exist to facilitate this (MatchGPX2OSM graphhopper).

To exactly reproduce high-resolution trajectories, it is possible to map exact vehicle locations (including lateral positioning) and also to move vehicles beyond the road space by using the TraCI moveToXY function.

How do I avoid routes with many turn-arounds?#

Turn-arounds are a frequently observed at the start or end of a route if the respective edge goes in the wrong direction with regard to the general direction of travel. There are different ways to avoid this:

  • specify trips between junctions using attribute fromJunction/toJunction or using fromXY/toXY (fromLonLat/toLonLat) with option --mapmatch.junctions
    • randomTrips.py provides option ** --junction-taz** for this purpose
  • set duarouter option --remove-loops which will cut off starting / ending turn-arounds in the route

Turn-arounds may also happen in the middle of the route because they are perceived as a faster alternative (and this may even be correct, depending on the state of traffic). To discourage the use of turn-arounds, the option --weights.turnaround-penalty may be given a higher value (default is 5.0). Both sumo and duarouter support this option.

Simulation#

How to simulate an accident#

SUMO automatically detects vehicle collisions. Since the default model aims to be accident free, some effort must be taken to create accidents.

Often, the effects of an accident are required instead of the accident itself. Without using TraCI the following approaches may be useful:

  1. Let a vehicle halt on the lane for some time (see Definition of Vehicles, Vehicle Types, and Routes#Stops and waypoints). This works quite nice for simulating accidents.
  2. Put a variable speed sign of the lane where the accident is meant to be and let it reduce the speed (see Simulation/Variable Speed Signs). This method will reduce the throughput on the lane, but further dynamics will rather not fit to what one would expect from an accident situation.
  3. You may of course combine both approaches. Within a project we simulated traffic incidents by letting vehicles stop on one lane and reducing the speed on the other lanes.
  4. Alternatively, you may close one or more of the lanes on an edge
  5. If you close the whole edge, rerouting may be triggered as well
  6. By setting the option --collision.stoptime, traffic jams may be created after a registered collision.

I have changed my network and now SUMO does not load it.#

Actually, SUMO-networks are not meant to be edited by hand. You have to describe everything within your input properly and let netconvert build your network. Editing networks by hand is very complicated and error-prone.

How do I change the duration of traffic light cycles and phases?#

use netedit

I can not see a vehicle moving in my simulation#

There may be several reasons why you do not see the cars.

  • The simulation is not yet running (click the "play" button (icon_play.png), see sumo-gui#Usage_Description)
  • If your simulation area is too big, cars will not be displayed unless you zoom into the net. Cars are simply to small when looking from far away. To change this you may also set the option Draw with constant size when zoomed out (see visualization settings for vehicles).
  • The simulation is too fast so that all vehicles disappear before being seen. To avoid this, you may increase the Delay-value to slow down the simulation.
  • You might have outdated graphic card drivers
  • You did not define any vehicles
  • All your vehicles are set to depart before the simulation --begin time
  • Your vehicles are set to depart much later than the simulation --begin time

Different departure times with different time step size#

Vehicles are entering the network earlier with decreasing time step lengths. The reason for this behavior is that a vehicle is emitted at the end of a time step. For one second time steps, this means that a vehicle which has the depart time of 0 will be inserted into the network at the end of the time step between 0 and 1, this means almost on second 1 (0.99...). If time steps of 0.1 seconds are used, the same vehicle is inserted into the network at the end of the time step between 0 and 0.1, this means almost on 0.1 (0.099...). See also VehicleInsertion

How to save a simulation state and proceed later and/or differently#

See Simulation/SaveAndLoad

How can I make the simulation run faster?#

  • make sure there are no unwanted jams The more vehicles there are in the simulation, the slower it gets.
  • if your network is very large, build it with option --no-internal-links (simplified intersection model)
  • If you are using trips or periodic rerouting, enable parallel routing
  • use the default step-length of 1s (using --step-length 0.1 slows down the simulation by a factor of 10)
  • if your simulation is very larger. consider using the mesoscopic simulation model
  • see below for further tips on slow-down

The simulation gets slow with many vehicles waiting for insertion#

SUMO keeps checking continuously for possible vehicle insertions. If the network is jammed the number of necessary checks grows quickly. The option --max-depart-delay <TIME> may be used to discard vehicles which could not be inserted within <TIME> seconds.

The simulation runs slow on the command line#

when running on the windows operating system, the command-line output which is refreshed every simulation step slows the simulation down significantly. Use option --no-step-log to avoid this.

The simulation has lots of jams/deadlocks. What can I do?#

Deadlocks in a scenario can have many causes:

  1. invalid network
  2. invalid traffic lights (see Improving generated traffic lights)
  3. invalid demand (too many vehicles overall, too many vehicles starting on the same edge).
  4. invalid routing
  5. invalid insertion (vehicles being inserted on the wrong lane close to the end of an edge where they need to change to another turn lane). This can be fixed by setting the vehicle attribute departLane="best"

If the network was imported from OpenStreetMap, it is highly recommended to use the recommended import options. The best course of action typically is to observe the simulation using sumo-gui and figure out where the first jam develops.

Two vehicles want to change lanes in opposite directions and are blocking each other. How to prevent this?#

Drivers are highly conscious of strategic lane choice requirements and try to change onto the needed lane well in advance. There are several reasons why a counter-lane-change-deadlock can happen:

  • Vehicles are unable to enter the desired lane because the connection layout at preceding junctions prevents it. This can be fixed by closely examining the connections ahead of the deadlock.
  • Vehicles are inserted on the wrong lane close to an intersection where they need to change lanes. To fix this, set the vehicle attribute departLane="best"
  • Vehicle streams must perform at weaving maneuver where they are forced to change lanes with limited space to do so. This often occurs at motorway ramps that combine an on-ramp with an off-ramp with little distance in between. The danger of deadlocks can be removed by adding an additional network connection as explained here. Similar deadlocks may also occur at multi-lane roundabouts and the same solution of adding an extra connection (from the inside lane to the outside) applies.

Why do the vehicles perform unexpected lane-changing maneuvers?#

This may be caused by invalid lane-to-lane connections. Check the connections in sumo-gui by activating Junctions->show lane to lane connections in the gui settings dialog.

Why do the vehicles not use all available lanes?#

The main reason is usually that only the lanes they use allow them to continue their route. You should check the downstream junction whether the connections are correct. If the number of lanes is reduced without further streets being involved (not a proper junction) make sure to use the zipper type. If you want to change the way vehicles behave for the whole scenario, lower their lcStrategic value.

In cases where one lane has multiple target lanes on the next edge, vehicles will prefer the rightmost continuation lane by default. This can be changed with vType-attribute lcContRight.

How do I get high flows/vehicle densities?#

By default, insertion flow is limited by the time resolution of the simulation (vehicles are only inserted every full second) and by the default insertion speed of 0.

The following definition will allow flows in the range of 2500 vehicles/hour/lane:

<vehicle departSpeed="max" departPos="last" departLane="best" ../>

Instead of setting departPos="last", the option --extrapolate-departpos can also be used.

Caution

When using departLane values best, free or random_free high flows on multi-lane roads require insertion edges that are somewhat longer than the braking distance of the fastest vehicles. This is because the lane selection checks vehicles on the insertion edge to determine a suitable insertion lane and short edges give insufficient information.

To increase flows even further the following settings can be used (potentially sacrificing some realism)

  • <vType sigma="0" minGap="1" length="3" .../>
  • <vType tau="0.5" .../> (should not be lower than step-length)

See table of insertion capacity achievable with different options and insertion attributes.

How do I insert vehicles with a fixed density?#

To start a simulation with 65 evenly-spaced vehicles on a specific lane of a 1km highway, do the following:

  • create an edge that is 1km long
  • compute the space for each vehicle: 1000m / 65 = 15.385m
  • subtract the minimum space requirement (5m vehicle length + 2.5m minimum gap by default)
  • this gives you 7.885m as remaining space between vehicles.
  • at a default value of tau=1 (desired time headway excluding minGap) this means vehicles will be in a stationary state at 7.885m/s
  • you can use insertion method 'last' which places vehicles at their desired headway for a given speed (repeat for every lane):
<flow id="lane0" from="startEdge" to="destEdge" begin="0" end="1" number="65" departPos="last" departSpeed="7.885" departLane="0"/>

To let vehicles enter the simulation continuously with a specific density:

  • compute the time period between successive vehicles using the equilibrium speed from above: 15.385m / 7.885m/s = 1.951s
  • use the equilibrium speed as departSpeed
<flow id="lane0" from="startEdge" to="destEdge" begin="0" end="3600" period="1.951" departPos="base" departSpeed="7.885" departLane="0"/>

Caution

For the continuous case, the specified density is reached only close to the inflow as vehicles start accelerating to their preferred speeds. In order to maintain the density along the edge, use a ring road scenario or limit the allowed speed to the departSpeed value. Remember time-resolution dependency for further adjustment.

How do I force a lane change?#

There are several options to force a vehicle onto a lane:

Note

A further method is planned but not yet implemented: #1020

Are there any limits in regard to the size of a simulation scenario?#

  • There are no hard limits on the number of streets, intersections or vehicles in SUMO. Make sure that you have enough RAM when trying to build or run scenarios beyond city-size. It may be necessary to use the 64bit version of SUMO to make use of available RAM.
  • The maximum length of a simulation scenario is 292 million years. If you need to simulate longer time periods you must save and reload the simulation state

How fast can SUMO run?#

This really depends on how many vehicles you have in your simulation at any given time (and to some extent on how strongly vehicles interact at intersections and how many lanes each vehicle has to chose during lane-changing). When running in verbose mode, SUMO will tell you the UPS metric. This is vehicle updates per second. A number of x tells you that you could run x vehicles in real-time at a step length of 1 second. Running time is inversely proportional to step-length (--step-length 0.1 computes 10 times as many steps compared to the default of 1s and thus takes 10 times as long).

Some examples on an average desktop PC:

  • vehicles on a long single lane: 700k UPS
  • vehicles on a long four-lane road: 240k UPS
  • complex grid network: 80k UPS

In a city simulation of one day running with 80k UPS where a vehicle spends on average 30 minutes driving, 3.8 million vehicles can be simulated in 24h wall-clock time. However, the simulation would run slower than real-time whenever there are more than 80k Vehicles in the network at the same time because rush hours and low-traffic times would average out.

Calculated as 24 * 3600 * 80000 / 1800 = 3840000

How to perform repeated simulations with different results#

By default, the same configuration will result in the same behavior even though many parts of the simulation are randomized. This reproducibility is often necessary (i.e. for debugging a scenario). However, to avoid biases from this "fixed" randomness it is often useful to run the simulation multiple times and perform analysis on the ensemble of results. Likewise, in the real world different days have different traffic and it is more reliable to draw conclusions from multiple days rather than a single day.

To change the default randomness, either option --seed or option --random must be used. The first option sets a user-defined initialization for the random number generator whereas the other picks a random seed (which will be different on every run).

Note

These options apply to sumo, duarouter and many python tools which employ randomization.

In order to collect distinct output from multiple runs, it is advisable to set option --output-prefix. Running a simulation 3 times with different results could be done in a batch file like this:

sumo -c run.sumocfg --seed 1 --output-prefix 1.
sumo -c run.sumocfg --seed 2 --output-prefix 2.
sumo -c run.sumocfg --seed 3 --output-prefix 3.

The tool runSeeds.py can be used to automate this, parallelize it and even add output options to avoid modifying the .sumocfg:

tools/runSeeds.py -a sumo -k run.sumocfg --seeds 1:4 --threads 4 --statistic-output stats.xml

The tool attributeStats.py can be used to generated statistics for multiple runs: i.e. if simulations where run with the option <statistic-output value="stats.xml">/, the command tools/output/attributeStats.py *.stats.xml will generate statistics on each of the attributes in the statistic-output file over all runs.

The tool attributeCompare.py can be used if the attribute of interest must be grouped. An example would be to obtain averaged traffic data for each individual edge and hour in an hourly edgeData-output. The following command groups each of the traffic attributes by edge id and interval begin time:

tools/output/attributeCompare.py *.ed.xml -o output.xml -i id,begin

How to simulate autonomous vehicles?#

All vehicles in SUMO are autonomous (in the sense of having their routes, speeds and lane changing decision controlled by a computer algorithm). Most carFollowModels in SUMO are meant to mimic human driving behavior in order to capture traffic effects caused by non-autonomous vehicles. The carFollowModels ACC and CACC are intended to reflect automated driving functions.

The default carFollowModel Krauss is simple/general enough to allow parameterization for both human and automated driving. The correct parameters however, depend on the user assumptions about the automated fleet:

  • possibly, autonomous vehicles must drive more cautiously than human drivers (i.e. with a larger value of the desired time headway tau)
  • possibly, autonomous vehicles may drive at lower time headways than human drivers because they have better sensing or faster actuation (i.e. with a lower value of the desired time headway tau)

Functions that are meant to capture specific human behaviors can be switched of directly - imperfect acceleration, dawdling: sigma="0" - imperfect compliance with the speed limit: speedDev="0" in the vType or speedFactor="1" in the <vehicle>

Further safety-critical behaviors are described at Safety.

Why are queuing vehicles on a lane drawn as stacked in sumo-gui?#

If no collisions have been reported, this is due to length-geometry mismatch and not scaling the vehicle length to geometry.

How do I model pedestrians crossing the road at random locations ?#

The closes approach currently supported, is to split the edge multiple times and put a non-prioritized pedestrian crossings at each split. Then configuring some pedestrians to use these in a reckless manner. The latter is accomplished by setting vType attributes jmIgnoreFoeProb and jmIgnoreFoeSpeed to ignore foes that are approaching the junction below the given speed with the given probability.

Visualization#

How can I get satellite / aerial background images for my simulation#

The osmWebWizard tool provides the simplest solution to obtain a scenario with background images. Selecting the checkbox 'Satellite background' before generating the scenario is sufficient. To select another image provider, the tool tileGet.py can also be used.

It is important to know that the network projection will be changed from UTM to Mercator if the checkbox "satellite background" is enabled. This is necessary to match the projection of popular satellite image providers. However, this projection has the unwelcome property of distorting lengths much more strongly than the default project. Depending on the area being imported, distances could be doubled (or worse).

The revert such a projection to UTM, the following commands may be used:

netconvert -s *.net.xml -p plain --proj.plain-geo
netconvert -e plain.edg.xml -n plain.nod.xml -x plain.con.xml -i plain.tll.xml --proj.utm

When changing the projection, the satellite background can no longer be used. Any polygons must be recomputed with polyconvert and the locations of the public transport stops extracted from the OSM must be adapted as well. (the easiest solution is the add friendlyPos="true" to all stopping places but this may distort their desired position).

sumo-gui breaks#

Sometimes sumo-gui terminates with no reason. In most cases, an update of the opengl-driver solves this problem.

Display flickers in the area of the mouse pointer (Windows)#

Newer Windows-Versions seem to cache the area under the mouse to apply the mouse shadow afterwards. To avoid this, go to your System menu, then Mouse->Pointers and disable the mouse shadows. That's the only solution so far. (Origin: Till Oliver Knoll, via QT Interest List)

sumo-gui windows and buttons appear but no net/cars are visible / Vehicles are not visible or flicker / Roads are drawn on top of vehicles#

This problem may occur when using outdated/wrong openGL drivers. Please try to update the drivers for you graphics hardware.

Building videos from sumo-gui#

There are several ways to build videos from your SUMO simulation. You can use screen capturing tools like VLC Player [1]. The disadvantage of this approach is the requirement of a (very) fast CPU to capture the video in real time, it depends on the chosen resolution and screen size of the simulation.

The second approach needs a sumo-gui version which has support for ffmpeg compiled in (for the windows downloads this is the extra version). When in doubt open the about dialog (press F12) and read the line mentioning the compiled features (like Proj) whether it includes FFmpeg. If so, you can use the screenshot button to start video recording. Just enter a filename ending with ".h264" or ".hevc" depending on the encoder you want. Please be aware that this will slow down your simulation sometimes to the point of halting.

Another approach is the use of single images for every simulation timestep. This can be done with an additional traci command for building screenshots. A small python snippet shows the usage of this TraCI command to get a new image for each new timestep.

    for i in range(duration):
        traci.simulationStep()
        traci.gui.screenshot("View #0", "images/"+str(i)+".png")

A more sophisticated version of this approach is given in the createScreenshotSequence.py tool.

Next you have to glue the images together. This job can be done graphically with virtualdub [2] or via commandline with ffmpeg [3]. An example command for ffmpeg is shown below.

    ffmpeg -r 10 -i images/%d.png -b:v 1500k -vcodec wmv2 sumo.wmv

The parameters -r set the value for the fps and -b:v the bitrate for the video.

Incomplete output#

When using the GUI or TraCI the output files seem sometimes incomplete because the files are only flushed when everything is closed. For the GUI you can either use the close item from the menu or close the whole GUI. In TraCI it is always a good idea to wait for the sumo process to be finished using some kind of process.wait() mechanism

Drivers of DisplayLink devices are incompatibles with Fox Library. If sumo-gui or netedit presents graphics problem like this during the execution, DisplayLink drivers must be uninstalled.

Distorted view with green lines all over the network#

If your sumo-gui looks like this it is probably again a problem with your display driver. It seems to occur most of the time with on board (Intel) graphics together with a dedicated nvidia card. To fix it install the latest nvidia drivers, open the nvidia system control panel (should be available from a right click on the desktop background) go to 3D settings and select nvidia as your preferred graphics processor. If this does not fix it, try to set the integrated graphics as preferred. (Thanks @palvarezlopez for finding out.)

sumo-gui and netedit flickering#

There is a know problem in Windows 10 with scaling and flickering in certain applications. If scaling is greater than 100%, a flickering may appear in sumo-gui and netedit during mouse movement. The only known solution is leaving Scaling at 100%. Another cause is the use of a modern graphics card. If your computer supports it, run SUMO using the integrated graphics card (Control panel->NVidia Control Panel->Select integrated graphic card->apply)

Missing Characters in Parameter Dialogs (i.e. Chinese Street names) on Linux#

Install the Noto Fonts package for your distribution.

How can I change the color theme of sumo-gui or netedit?#

SUMO uses the fox-toolkit which permits system-wide and per-application settings that can be customized by the user. Under windows these settings must be configured using regedit i.e. at the registry location Computer\HKEY_CURRENT_USER\SOFTWARE\sumo-gui\SUMO GUI\SETTINGS

  • Supported color entries are: bordercolor, basecolor, hilitecolor, shadowcolor, backcolor, forecolor, selforecolor, selbackcolor, tipforecolor, tipbackcolor, selmenutextcolor, selmenubackcolor
    • supported color values are RGB hex codes (#aea395) as well as symbolic names (red). A full list of colornames can be found in FXColorNames.cpp.
  • The font is configured with: normalfont (i.e. normalfont="Times,100")
  • Further config entries are: typingspeed, clickspeed, scrollspeed, scrolldelay, blinkspeed, animspeed, menupause, tippause, tiptime, dragdelta, wheellines, scrollbarsize, displaygamma

Upgrading#

How do I upgrade SUMO?#

The easiest way is to download the latest sumo release or the latest development version to a directory of your choices and start using it from there. You may have to update the environment variables PATH and SUMO_HOME to ensure that the correct version of the application is called from the command line (see Basics/Basic_Computer_Skills#Configuring_Path_Settings). Confirm that the values are update correctly by calling echo %SUMO_HOME% (Linux: echo $SUMO_HOME) from a command line that you wish to use for calling applications and traci scripts.

sumo warns about deprecated networks or fails to load them#

In major versions (whenever the 1st or 2nd digit of the version number changes) there may be changes to the network format. In this case we provide scripts in <SUMO_HOME>/tools/net which can be used to upgrade your networks automatically. The current version of netconvert can also be used to upgrade most network files to the current version. Simply call netconvert -s old.net.xml -o new.net.xml

Python tools#

How do I run the python tools?#

See here

tools fail with a SyntaxError or ImportError or some TypeError concerning ">>"#

Many python tools require python version 2.7. We aim to have Python 3 compatibility for sumolib and traci however.

The tool fails when adding an argument with a leading minus sign#

Many of our tools use an argument parser to gather further command line arguments. As the option names usually start with a leading minus, the parser gets confused whether your input is an option or the corresponding value. In this case try the --option=value syntax.

tools fail with an ImportError#

Make sure to set the environment variable SUMO_HOME to point at the base directory of your SUMO installation (the directory that contains tools and bin).

how do I import traci or sumolib in my own python script?#

In order to import these libraries the folder <SUMO_HOME>/tools must be in your python search path. This can be accomplished by modifying the python variable sys.path as explained here and here. Alternatively you can hard-code the path to your SUMO-installation into your script:

 import sys
 sys.path.append('/your/path/to/sumo/tools')
 import traci
 import sumolib

the python scripts do not accept command line arguments (windows only)#

This is a known issue with some python installations. The usual workaround if you are not allowed to do edit the registry, is to call the python interpreter explicitly, e.g. instead of

script.py <argument>

you do

python script.py <argument>

osmWebWizard.py fails to generate Scenario on Windows 10#

This can happen with an outdated version of python 2.7. Updating to 2.7.15 (64bit) has been reported as fixing this problem.

Also have a look at the output in the shell window that opens. If it reports missing or outdated SSL certificates try: pip install certifi.

osmWebWizard.py fails to load the browser page on Linux#

This happens when you are using a browser that was installed from a flatpak or a snap package (which is the default since Ubuntu 22.04). As a work-around you can install a .deb package.

(Communication) Network Simulators#

How do I use .tcl files with NS2?#

Questions regarding NS2 should be put to the NS2 mailing list.

How do I combine SUMO with a network simulator?#

Check out veins.

Can SUMO simulate V2V / V2X messages?#

Sumo generally does not model messaging. The best way to do so is by managing the messages with connected code. If you want to simulate the application layer and can work with the assumption that messages "just work", you can often handle the messages with your own (simple) TraCI code. If you need to simulate the physical process, using a network simulator is recommended (see above). Sumo supports a vehicle device to log connectivity events but this is not designed to integrate with an application layer and aims only at logging.

Validity#

What are publications on SUMO's validity?#

Outdated (Questions for very old versions of SUMO)#

Vehicles do not drive on the last edge of their route#

Up to (and including) version 0.13.1 a vehicle finished its route (per default) on position 0 of the last edge. You can change this by setting the attribute departPos in the vehicle definition (see Definition_of_Vehicles,_Vehicle_Types,_and_Routes). Negative values count backwards from the end of the edge, thus setting departPos="-1" will make the vehicle drive (almost) to the end of the last edge. The new default in more recent versions is the end of the edge, which should disable this behavior.

Vehicle jumps backward#

When I try to evaluate my vehicle dump, sometimes vehicle seem to jump backward (their position is smaller than in the previous step)

To avoid jams due to an inappropriate lane changing behavior, vehicles may swap their lanes. In this case each vehicle obtains the position and speed of the other vehicle. As the position of the vehicles may differ a bit, one of the vehicles may seem to jump backwards.

This should not happen from Version0.8 on.