Simulation of Urban MObility

Simulation of Urban MObility (SUMO) is an open source, portable, microscopic and continuous multi-modal traffic simulation package designed to handle large networks.

Simulation of Urban MObility (SUMO)
Developer(s)German Aerospace Center
Initial release2001 (2001)
Stable release
1.8.0[1] / 1 December 2020 (1 December 2020)
Repository
Written inC++, Java, Python
LicenseEclipse Public License
Websiteeclipse.org/sumo

Purpose

SUMO is developed by the German Aerospace Center and community users. It has been freely available as open-source since 2001.

Traffic simulation within SUMO uses software tools for simulation and analysis of road traffic and traffic management systems. New traffic strategies can be implemented via a simulation for analysis before they are used in real-world situations.[2] SUMO has also been proposed as a toolchain component for the development and validation of automated driving functions via various X-in-the-Loop and digital twin approaches.[3][4]

SUMO is used for research purposes like traffic forecasting, evaluation of traffic lights, route selection, or in the field of vehicular communication systems. SUMO users are able to make changes to the program source code through the open-source license to experiment with new approaches.

Projects

SUMO was used in the following national and international projects:

  • AMITRAN[5] a CO2 assessment methodology achieved by ICT applied to the transport sector via Intelligent Transport Systems (ITS).
  • COLOMBO[6]
  • CityMobil[7] project for integration of automated transport systems in the urban environment. Completed in 2011.
  • DRIVE C2X[8]
  • iTETRIS[9]
  • Soccer[10][11] traffic data collection from the air during the 2006 FIFA World Cup football championship
  • VABENE[12] project to improve safety at mass events

See also

References
  1. "Release 1.8.0". 1 December 2020. Retrieved 16 December 2020.
  2. Tonguz, Ozan K. (25 Sep 2018). "How Vehicle-to-Vehicle Communication Could Replace Traffic Lights and Shorten Commutes". IEEE Spectrum.
  3. "Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles (2018-01-1066 Journal Article)- SAE Mobilus". saemobilus.sae.org. Retrieved 2020-02-03.
  4. Weber, Nico (January 2020). "AmE - Automotive meets Electronics 2020: A simulation-based, statistical approach for the derivation of concrete scenarios for the release of highly automated driving functions". Researchgate. Retrieved 2020-02-15.
  5. "AMITRAN". Archived from the original on 2012-09-28.
  6. "COLOMBO Project". Archived from the original on 2013-05-15.
  7. "CityMobil".
  8. "Drive C2X". Archived from the original on 2012-06-15.
  9. "iTetris Project Consortium". 2008. Archived from the original on 2010-08-15.
  10. "Soccer - Verkehrsdatenerfassung aus der Luft während der Fußball-WM" (in German).
  11. "Soccer - traffic data collection from the air during the World Cup".
  12. "vabene" (in German). Archived from the original on 2011-07-18.

Notes
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