Software:Simulation of Urban MObility

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Simulation of Urban MObility (SUMO)
Sumo application icon.svg
Eclipse SUMO, screenshot showing two microscopic views in SUMO version 1.6.0.png
Developer(s)German Aerospace Center
Initial release2001; 23 years ago (2001)
Written inC++, Java, Python
LicenseEclipse Public License
Websiteeclipse.dev/sumo

Simulation of Urban MObility (Eclipse SUMO or simply SUMO) is an open source, portable, microscopic and continuous multi-modal traffic simulation package designed to handle large networks. SUMO is developed by the German Aerospace Center and community users. It has been freely available as open-source since 2001, and since 2017 it is an Eclipse Foundation project.

Purpose

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.[1] 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.[2][3]

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,[4] a CO
    2
    assessment methodology achieved by ICT applied to the transport sector via intelligent transportation systems (ITS).
  • COLOMBO[5]
  • CityMobil,[6] a project for integration of automated transport systems in the urban environment. Completed in 2011.
  • DRIVE C2X[7]
  • iTETRIS[8]
  • Soccer[9] traffic data collection from the air during the 2006 FIFA World Cup football championship
  • VABENE[10] project to improve safety at mass events.

See also

References

  1. Tonguz, Ozan K. (25 Sep 2018). "How Vehicle-to-Vehicle Communication Could Replace Traffic Lights and Shorten Commutes". https://spectrum.ieee.org/transportation/infrastructure/how-vehicletovehicle-communication-could-replace-traffic-lights-and-shorten-commutes. 
  2. "Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles (2018-01-1066 Journal Article)- SAE Mobilus" (in en). https://saemobilus.sae.org/content/2018-01-1066/. 
  3. 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". https://www.researchgate.net/publication/338528849. 
  4. "AMITRAN". Archived from the original on 2012-09-28. https://web.archive.org/web/20120928233438/http://www.amitran.eu/. 
  5. "COLOMBO Project". Archived from the original on 2013-05-15. https://web.archive.org/web/20130515124818/http://www.colombo-fp7.eu/. 
  6. "CityMobil". Archived from the original on 2019-12-04. https://web.archive.org/web/20191204150245/http://www.citymobil-project.eu:80/. 
  7. "Drive C2X". Archived from the original on 2012-06-15. https://web.archive.org/web/20120615095936/http://www.drive-c2x.eu/project. 
  8. "iTetris Project Consortium". 2008. Archived from the original on 2010-08-15. https://web.archive.org/web/20100815230450/http://www.ict-itetris.eu/. 
  9. "Soccer - traffic data collection from the air during the World Cup". Archived from the original on 2016-12-18. https://web.archive.org/web/20161218005737/http://www.dlr.de/en/desktopdefault.aspx/tabid-1296/1792_read-3986. 
  10. "vabene" (in de). Archived from the original on 2011-07-18. https://web.archive.org/web/20110718231715/http://vabene.dlr.de/vabene/Aktuelles.htm. 

Notes

External links