A scaled-down traffic system based on autonomous vehicles: A new experimental system for ITS research

In this paper, the authors present their recent efforts on developing a physical environment for performing traffic experiments. The two main characteristics of this environment are: (1) the whole environment is scaled down from the real traffic, (2) the traffic behaviors are performed by numbers of miniature autonomous vehicles. Performing traffic experiments in an actual environment has long been a hard problem. Moreover, modeling traffic phenomena is also a tough task, due to the complexity of the natural traffic system. However, with the rapid development of autonomous vehicle technology, there is an opportunity to improve these problems from a new perspective. That is using autonomous vehicles to perform traffic experiments. But with the limitations in cost and land availability, directly using full size autonomous vehicles also seemed unrealistic. Thus, the authors built a 1/10 scaled-down traffic system (SDTS) with more than 50 miniature autonomous vehicles. The environmental design, autonomous vehicles developing, agent modeling, traffic control, and real-time monitoring is considered systematically during system design. The SDTS can be used as a repeatable, appraisable, and verifiable experimental platform for traffic researches, such as testing traffic solutions, verifying key technologies in intelligent vehicles, and performing experiments about ITS. By now, the SDTS has supported a series of workshops, exchange activities and competitions in China.

• Record URL:
  https://doi.org/10.1109/ITSC.2012.6338629
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6328848
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • He, Wen
  • Chen, Guisheng
  • Tang, Shuming
  • Li, Deyi
  • Guo, Mu
  • Zhang, Tianlei
  • Jia, Peng
  • Jin, Feng
• Conference:
  • 15th International IEEE Conference on Intelligent Transportation Systems (ITSC2012)
  • Location: Anchorage Alaska, United States
  • Date: 2012-9-16 to 2012-9-19
• Publication Date: 2012-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 13-18
• Monograph Title: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012)

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Highway traffic control; Intelligent transportation systems; Monitoring
• Geographic Terms: China
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01563958
• Record Type: Publication
• ISBN: 9781467330640
• Files: TRIS
• Created Date: May 26 2015 9:19AM