• Getting Started

Running SUMOPy#

Start the script sumopy_gui.py by double-clicking on it in your browser. If this fails, use a command-line application, change directory to

SUMOHOME/tools/contributed/sumopy

and run sumopy with

python sumopy_gui.py

If all required packages are installed correctly, you should see the main window as shown here, but initially with an empty network. The object browser shows initially the main object of SUMOPy: the scenario, which contains all other information.

Opening/creating a scenario#

There is a test scenario in the SUMOPy distribution which is located in

SUMO_HOME/tools/contributed/sumopy/testscenario

The quickest way to obtain results from a simulation is to import already existing xml-files. In case the following SUMO network, poly and route files

demo.net.xml demo.poly.xml demo.rou.xml

are located in directory

SUMO_HOME/tools/contributed/sumopy/testscenario

then a new scenario can be created by importing these files into SUMOPy at ones: from the main menu, choose Scenario>Create from xml... and insert the scenario Shortname, and Workdir in the form as shown here.

The options Name and Description are free text fields. After pressing the Run button, network, buildings and routes will be imported. In case the trip file demo.trip.xml exists, it will also be imported.

In the same way it is possible to create an empty scenario under menu Scenario>New....

Browsing the scenario#

The object browser allows to navigate through all information of a scenario. To a certain extend, it is possible to modify data. The most important information are:

• The network with edges, nodes, traffic light systems etc.
• The landuse, containing also the building information from the .poly| file as well as background maps (see later how to import them).
• The demand holds information on available vehicles types, trips and routes.

Navigating the Network#

The network can be examined with the network editor. The initial editing tool allows to click on the different network elements and retrieve the respective information in the object browser.

With the zoom-buttons (+,-) located below the network editor, different zoom levels can be obtained The 1:1 button zooms the network to fit approximately the boundaries of the window. Next to the zoom button is a button which pops up a menu when pressed. From this menu, the network elements to be drawn can be selected or un-selected.

The following mouse-key combination allow to navigate the network:

Simulating the scenario#

From the main menu select:

Simulation>Sumo>export routes and simulate...

With this process, the current trips and routes in demand.trips will be automatically exported to a SUMO .rou file. Choose the desired simulation settings from the SUMO pop-up dialog, as shown in Fig. here.

The simulation parameters are self-explaining, just hover with the mouse over the parameter name. The default parameters are typically suitable to run a first simulation. Select one of the output options in order to obtain specific simulation results. Regarding outputs, the Output Sampling Time for the different outputs may be of interest. If you observe in the simulations that vehicles get blocked at junctions for no obvious reason, then it is possible to resolve conflicts by setting the Teleport to a positive time (i.e. 10s).

After pressing the run button, the sumo-gui interface pops up, ready for simulation, as shown Fig. here.

Adjust delay time and press the Start button. At the end of the simulation, confirm OK and close the sumo-gui window. Simulation results are now imported into SUMOPy and are ready to be examined, visualized and exported in various formats.

Viewing results#

The results can be viewed in table format and graphically, see here.

In the object browse, the results per trip and the results per edge can be viewed. Both, trip and edge oriented result-table can be exported in CSV format, see the Simulation>Results menu.

Results are not saved when saving the scenario. Instead the results must be saved separately using

Simulation>Results>Save as ...

At any time, results can be reopened with the scenario with which they have been produced, using:

Simulation>Results>Open ...

In case the Matplotlib package is installed you can generate plots in various formats, choosing menu Simulation>Results>Plot with matplotlib. The pop-up dialog helps to configure the graphical details of the matplotlib plot. From the matplotlib figure window, the graphical results can be exported in different file formats (PNG, PDF, JPEG, etc.), an example PNG file is shown below.

Launching SUMOPy#

As explained above, networks can be created from SUMO XML files, or a binary file can be loaded. Both operations can be performed from the command line.

Loading a binary scenario at start#

A previously saved, binary scenario with filename scenario.obj| can be loaded into SUMOPy at start using the commandline

python sumopy-gui.py workdir/scenario.obj|

Importing SUMO XML files at start#

An initial import of existing SUMO XML files with rootname scenario| and located in directory workdir can be accomplished with

python sumopy-gui.py scenario workdir

Importing and Editing networks#

if needed, the network should be modified before moving on to demand modeling.

Importing nets and buildings#

Networks can be import from a SUMO net.xml file with

network>import>from sumo net.xml ...

Networks can be converted and imported from a previously downloaded OSM file, calling a wizard with:

network>import>from osm.xml ...

Different types of buildings, parks, car parking, leisure areas, etc (in SUMOPy called called “facilities”) are a property of the landuse object and can be extracted and imported from an OSM file with menu item

landuse>facilities>import from osm...

Sometimes special characters in the XML file are offending the python XML parser, leading to errors during import. If this occurs, simply “clean” the respective OSM file with

landuse>facilities>clean osm file...

prior to importing it.

Editing with SUMO’s netedit#

The recommended way to edit the network is via netedit, which is provided with SUMO from version 0.25. SUMO’s netedit can be called by choosing the menu

Network>Edit with netedit

netedit will be fired up with the network ready to be edited. The use of netedit is documented here: https://sumo.dlr.de/docs/netedit.html. After editing, the network must be saved within netedit| be pressing Ctrl + s or with File>save. Then netedit can be closed and the modified network will be reimported into SUMOPy.

Editing with SUMO’s netedit on background maps#

There is a possibility to edit the network with netedit| on background maps. Currently these are Google Satellite maps. Before editing with background maps, the maps must be downloaded for the given network area. This is accomplished by a wizard which can be called selecting the menu item[1].

landuse>maps>download...

The wizard helps to download the squared tiles which cover the network area. The resolution can be defined by setting the tile width (and height) in meters. The tile size in pixel is maximum 1280 (using the Google Map server). The resolution is then tile size/tile width in pixel per meter.

it is highly recommended to press the Apply| Button prior to downloading the maps. This will calculate the number of tiles which are going to be downloaded. This is important to know, because Google maps prevent IPs from downloading too many maps of an area. Therefore do not exceed about 300 tiles! Note further that, dependent on the performance of your computer, netedit may run into problems to handle too large map areas.

After the maps are downloaded, netedit can be called with

Network>Edit with netedit on map

in order to edit the SUMO network on a map.

Editing with SUMOPy Networkeditor#

The SUMOPy internal net-editor provides currently some limited capability to edit the network

• The geometry of edges and buildings can be manipulated: Activate the Move| tool to move or the Stretch| to change vertices.
• With the menu Network>Clean nodes all edges entering a node are “cut back” to a certain radius. This measure may facilitate the verification of connections between lanes at junctions.

1. In SUMOPy Maps are managed by the landuse object