Giter Site home page Giter Site logo

sumo_ingolstadt's Introduction

Multimodal Traffic simulation of Ingolstadt in SUMO

Created in the SAVe:, SAVeNoW and KIVI research projects

Simulation

Getting started

To run the simulation you need to download Eclipse SUMO (Simulation of Urban Mobility) from eclipse or github. The provided simulation was developed and tested with SUMO 1.19.0.

After cloning, you can run the simulation by running the config file simulation/24h_sim.sumocfg.

If the simulation is slow, try removing the polygons from the config file.

Simulation setup

The 24h simulation currently contains routes for passenger vehicles, heavy-vehicle traffic as well as bicycles. Both vehicle demand as well as traffic light settings are created from data for Wednesday the 16.09.2020 to create a weekday traffic situation mostly uninfluenced by covid-restrictions. More details on the simulation setup are provided in simulation_setup and in the listed publications.

Please note that while there are sidewalks on several streets the network should not be used for pedestrian simulation. There are crossings missing in several places, making it disconnected.

Furthermore you should always load the WAUT mentioned in the config file because the default traffic lights are not working correctly.

Simulation for Multiple Days

In general, the model can be calibrated for any day between 08/2019 and 12/2023. For demonstration purposes, the traffic has been calibrated for 9 days representing 3 Mondays, Tuesdays and Sundays in summer 2023. For these days also public transport routes are available. You can start the simulation of each day by running the corresponding sumocfg-file.

Contributing

The simulation was created to provide a realistic multi-modal environment for traffic research. The model is under continuous development and issue reports and contributions are greatly appreciated. Feel free to get in touch with us by opening an issue in the repository.

Research

When using the simulation in your research, feel free to cite this publication describing the simulation setup.

Michael Harth, Marcel Langer and Klaus Bogenberger, Automated Calibration of Traffic Demand and Traffic Lights in SUMO Using Real-World Observations, SUMO Conference Proceedings, 2021, https://doi.org/10.52825/scp.v2i.120

The calibration of driver-behavior based on real-world vehicle trajectories is presented in:

Marcel Langer, Michael Harth, Lena Preitschaft, Ronald Kates and Klaus Bogenberger, Calibration and Assessment of Urban Microscopic Traffic Simulation as an Environment for Testing of Automated Driving, IEEE Intelligent Transportation Systems Conference, 2021, DOI: 10.1109/ITSC48978.2021.9564743

The Multi-Day Simulation of Multimodal Traffic has been presented with a poster at SUMO User Conference 2024.

Acknowledgements

  • Thank you to Lutz Morich of Audi and Prof. Klaus Bogenberger of TUM for providing the working environment and making this work possible.
  • We appreciate the funding of the SAVe: and KIVI research projects by BMVI as well as the funding for the SAVeNoW research project by BMWi.
  • Initial setup by Marcel Langer and Michael Harth.
  • Continuous improvements by Natalie Sautter, Martin Margreiter and Mario Ilic in the SAVeNoW and KIVI Projects.
  • Public Transport Integration and Multi-Day Simulation created by Joel Brodersen
  • Special thanks to all who supported to project over the years including Philipp Neuhaus, Lena Preitschaft, Philipp Wulff, Navneet Singh Dhir, Camilo Cardona Torres and Danil Belikhov.

Licence

The simulation is distributed by AUDI AG and the Chair of Traffic Engineering and Control of the Technical University of Munich under the Apache License Version 2.0. SUMO is available as open source under the Eclipse Public License 2.0. For more detailled information check LICENSE.

sumo_ingolstadt's People

Contributors

joelbrodersen avatar behrisch avatar natalie-st avatar marcellanger avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.