An emergency traffic light strategy to prevent traffic congestion

Liang Qi, Mengchu Zhou, Wenjing Luan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This work designs an emergency traffic light strategy at signalized traffic intersections in order to prevent traffic congestion. Some additional warning lights are used. The emergency strategy is realized by the cooperation of traffic lights and warning lights. It contains a ban signal strategy, and a warning signal strategy. A two-way rectangular grid network is modeled via the cell transmission model. The effectiveness of the proposed strategy is evaluated through simulations in the modeled grid network. Simulation results identify the influence of rout-changing behaviors of drivers, the time when to operate the emergency strategy, and the inflow of the traffic network. They can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.

Original languageEnglish (US)
Title of host publicationICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399753
DOIs
StatePublished - May 25 2016
Event13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 - Mexico City, Mexico
Duration: Apr 28 2016Apr 30 2016

Other

Other13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
CountryMexico
CityMexico City
Period4/28/164/30/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Modeling and Simulation

Cite this

Qi, L., Zhou, M., & Luan, W. (2016). An emergency traffic light strategy to prevent traffic congestion. In ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control [7479013] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC.2016.7479013