Enabling a Self-organized Traffic System in Existing Legacy Hardware

This work presents a hardware design that allows us to retrofit legacy controllers and facilitate implementation of distributed traffic signal optimization algorithms. This work is specifically focused on supporting the deployment of self-organized traffic algorithms of traffic control which can leverage the data from connected vehicles to reduce traffic delays. The paper describes the legacy hardware, its limitations, needs for implementation of distributed algorithms, as well as the design of a supplementary controller based on small plug-in computers that allows distributed decision making. The supplementary controller uses a plug-in computer and establishes a cost effective means of deploying efficient distributed algorithms on existing controllers.

• Record URL:
  • https://doi.org/10.1109/ICCVE.2014.7297691
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7284675&punumber%3D7284675%26filter%3DAND%28p_IS_Number%3A7297490%29%26pageNumber%3D2%26rowsPerPage%3D100&pageNumber=3&rowsPerPage=100
• Supplemental Notes:
  • Copyright © 2014, IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Goel, Sanjay
  • Dincelli, Ersin
  • Parker, Austin
  • Sprissler, Ethan
• Conference:
  • 2014 International Conference on Connected Vehicles and Expo (ICCVE)
  • Location: Vienna , Austria
  • Date: 2014-11-3 to 2014-11-7
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 925-930
• Monograph Title: 2014 International Conference on Connected Vehicles and Expo (ICCVE)

Subject/Index Terms

• TRT Terms: Algorithms; Intelligent vehicles; Mobile communication systems; Optimization; Retrofitting; Traffic signal control systems; Traffic signal hardware
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01617207
• Record Type: Publication
• ISBN: 9781479967308
• Files: TRIS
• Created Date: Nov 21 2016 1:42PM