• TAPASCologne

TAPASCologne

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"TAPAS Cologne" Scenario#

Availability#

The data is available under the Creative Commons license. You must tell where the data is from, it is not allowed to use it for commercial purposes, as soon as you use it we want to be informed about it (use the sumo-user mailing list).

The data can be downloaded from our scenario repository. There also vehicle traces available from the KolnTrace project at CITI Lab.

About#

Brief Description#

The "TAPAS Cologne" simulation scenario describes the traffic within the city of Cologne (Germany) for a whole day. The original demand data stems from TAPAS, a system which computes mobility wishes for an area population generated based on information about travelling habits of Germans and on information about the infrastructure of the area they live in. More information about the system can be found within this publication on TAPAS. The original data was using a closed-source road network and was mapped onto one stemming from the OpenStreetMap project.

As is, TAPASCologne is only hardly usable. Work must be put into improving the network quality, as well as into verification of the process how routes were mapped on the OSM network and on the routes themselves. We hope to gain participants responsible for the works that must be done. A list of possible work packages on TAPASCologne is available.

Contents#

The TAPASCologne scenario package includes:

• Road networks imported from OSM
• POIs and Polygons imported from OSM
• The mapped trips for time between 6:00 and 8:00 (am)
• The mapped trips for time between 00:00 and 24:00 (in a separate file)
• The SUMO-configuration file

As OSM data contains information about streets, railways, ways for pedestrians only, etc. Release 0.0.3 only includes the network for road vehicles (road). Other network selections can be created with the script build.py in the release.

• "passenger_*" which contains only roads passenger vehicles are allowed to use
• "roadvehicles_*" which contains roads for road vehicles (those used by pedestrians, trains, and bicycles were removed)
• "all_*" which contains all roads

The idea behind this is to have a fast road network ("passenger_*") for DUA computation and for scenarios which only consider passenger traffic retrieved by TAPAS. Then, in a second step, which is not yet started, additional traffic such as public transport or delivery vehicles may be added and used in combination with "roadvehicles_*" networks. "all_*" networks are meant to be used by people who want it all......

Each of the road networks is again available in two versions - one with internal lanes (default since version 0.10.1) and one without. Again, choosing the proper network is a matter of personal interest.

The supplied routes are given for the "passenger_*"-network. Though not tested, yet, we assume that they can not be used directly with other networks from the package. Still, computing correct routes should be possible by starting duarouter with the appropriate network and --repair option.

The following images show the scenario area with polygons and points of interest. Because we assume that the networks differ in size, for each network type (passenger, roadvehicles, all), a shape file is included.

ChangeLog#

Version 0.0.1 to version 0.0.2

• Solved problems on importing OSM road networks, including defect 17: OSM network importer creates large junctions
• Includes joined tls (solves few synchronization problems)
• Patched import of shapes (POIs/Polygons) and included them
• Remapped the routes

Quality#

In the current version, we even have not tested the data, completely. The assumptions made on the quality are shown below. We decided not to use a numeric ranking, because we do not have real world numbers for most of the issues. The rank tries to distinguish between "good" (arrow upwards, green) and "bad" (arrow downwards, red) influences on the overall simulation quality.

• Network Topology and Edge Parameter (from OSM)
  • Completeness
    • Seems to be quite complete (including even minor roads) when compared to other (commercial or administral) road networks; still, there is no information about "black spots";
    • todo: build density plot comparing commercial and this network (legal?)
  • Junction topology
    • Lots of complex junctions which should be simplified (automatic joining failed)
  • Lane Number Information
    • The information about lane numbers is stored via types, mainly. For several roads, an explicit lane number is given. It can be safely assumed that many turning-lanes are missing.
    • todo: evaluate how much information is given explicitly
    • todo: compare to images, write down lane number per street
  • Maximum Speed Information
    • Again, mostly available via types, as for lane numbers; is assumed to be mismatching on some places
    • Where can one get better information from?
• Traffic Management Artifacts
  • Traffic Light Positions
    • Given for some junctions (nodes); Still, there seem to be no information whether a node not marked as controlled is really uncontrolled
    • todo: Try to find further controlled junctions or improve guessing
  • Traffic Light Programs
    • Ungiven
    • todo: Ask about the default cycle time (if there is one) in Cologne; apply at least this one to the generated tls logics
  • Other Traffic Management Artifacts
    • completely ungiven
  • Closures, Roads At Work
    • completely ungiven
• Public Transport
  • completely ungiven
• Demand Data
  • Activity-Based single Person Trips
    • No Time Aggregation
    • No Start/End Position Aggregation
  • unverified
  • starts partially at highways
  • ad-hoc, erroneous mapping to OSM
  • shortest path routing, no DUE as of release 0.0.3

The below images show the structure of demand data over 24 hour period. This shows normal behavior of mobility. Peak hours like ~8-9am , ~4-6pm during which the number of trips are usually high. More information of the city of cologne can be found in the link [1]. The total number of trips (made by cars) over 24h is very close to the number of registered cars*3 (3 trips per registered car). There are around ~420415*3 (~1.2 million) trips which matches the number in the plots.

Summary: The TAPAS Cologne scenario is assumed to be one of the largest - if not THE largest - freely available traffic simulation data set. Regarding the scenario size, both the road network and the traffic demand are given in a good quality. Nonetheless, many important information is missing or wrong and much further effort is needed to make the scenario realistic and complete.

Next Steps#

Task	Description	Priority	Assigned To
Synchronize Traffic Lights		very high	-
Check Right-of-way Rules		very high	-
Check Lane Numbers, esp. within Junctions		high	-
Check whether all traffic lights are given		high	-
Compute Assignment		high	-
Add Public Transport		low	-
Help on Visualization of POIs/Polygons		low	-