Backpressure Traffic Control Algorithms in Field-like Signal Operations

Traffic signal control is one of the most common means of traffic management in urban areas. To create an efficient urban transportation network, the optimization of signal control strategy is required. Various methods and tools can be used for that purpose. This study proposes two signal control algorithms that are based on backpressure model, which is originally developed to maximize the throughput in communication networks. Thus, one of the goals was to determine if such control strategies can lead to maximum throughput through an urban traffic network. In addition, the evaluation of the two algorithms included comparison of their performances with the performances of the conventional signal control strategies in microsimulation software. Evaluation results, in terms of various performance measures, demonstrate that backpressure control models are outperformed by conventional (fixed and actuated) signal timings optimized by a genetic algorithm.

• Record URL:
  https://doi.org/10.1109/ITSC.2015.31
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
• 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:
  • Dakic, Igor
  • Stevanovic, Jelka
  • Stevanovic, Aleksandar
• Conference:
  • 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: Canary Islands , Spain
  • Date: 2015-9-15 to 2015-9-18
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 137-142
• Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

• TRT Terms: Genetic algorithms; Microsimulation; Optimization; Traffic signal control systems
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01602918
• Record Type: Publication
• ISBN: 9781467365956
• Files: TRIS
• Created Date: May 2 2016 3:18PM