Analysis of urban traffic jam formation based on extended cell transmission model

Liang Qi, Mengchu Zhou

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

1 Scopus citations

Abstract

This work proposes an extended cell transmission model to describe traffic flow in urban networks. In the model, the paths of vehicles travelling toward a road link are depicted for the first time. Based on the model, a simulation approach is used to analyze the traffic jam formation caused by an incident under a scenario that travelers are informed of such an incident from advanced traveler information systems and some of them conduct a detour prior to entering the incident-induced congested roads. Simulation results reveal the influences of some major parameters on an incident-induced congestion formation. These parameters are the ratio of vehicles conducting a detour over the total ones and the amount of traffic flow driving to the blocked link in the traffic network. The results can be used to estimate the traffic jam size and traffic delay caused by traffic incidents.

Original languageEnglish (US)
Title of host publicationICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538650530
DOIs
StatePublished - May 18 2018
Event15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018 - Zhuhai, China
Duration: Mar 27 2018Mar 29 2018

Publication series

NameICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control

Other

Other15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018
CountryChina
CityZhuhai
Period3/27/183/29/18

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Optimization
  • Modeling and Simulation

Keywords

  • intelligent transportation systems
  • traffic incident
  • traffic jam formation
  • traffic simulation

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