Data/Scenarios
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TAPASCologne
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.
There is further information about TAPASCologne.
Bologna
A small-scale scenario based on the city of Bologna. The large roundabout can be found at 44.494554,11.314393.
These scenarios were developed as part of the iTETRIS project. A publication on these scenarios was presented at SUMO Conference 2014:
L. Bieker, D. Krajzewicz, A. Morra, C. Michelacci and F. Cartolano, "Traffic simulation for all: a real world traffic scenario from the city of Bologna", SUMO2014, p 19-26
Download: scenario Bologna *.zip files
Luxembourg SMO Traffic (LuST)
- http://www.vehicularlab.uni.lu/lust-scenario/
- https://github.com/lcodeca/LuSTScenario/wiki/Luxembourg-SUMO-Traffic-%28LuST%29-Scenario
- Publication: "Lara Codecà - LuST: a 24-hour Scenario of Luxembourg City for SUMO Traffic simulations, SUMO2015 User Conference"
Further real-world scenarios
Further real-world scenarios are build within the COLOMBO R&D project. As soon as they are ready for public they will be made available here. If you want to be informed connect with the COLOMBO project profile on LinkedIn or the COLOMBO page blog.
Synthetic scenarios
Synthetic - or abstract - scenarios only resemble typical layouts of real-world junctions and arterials without mapping a very specific one. Some synthetic scenarios of the COLOMBO R&D project are examples of the German guideline RiLSA. They are described in D1.1 "Scenario Specifications and Required Modifications to Simulation Tools"(chapter 4).
Download: 4 RiLSA *.zip files
