Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans

Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Computing efficient traffic signal plans is often based on the amount of traffic in an intersection, its distribution over the various intersection movements and hours as well as on performance metrics such as traffic delay. In their simple and typical form, plans are fixed in the same hour over weekdays. This allows low operation costs without the necessity for traffic detection and monitoring tools. A critical factor in the potential efficiency of such plans is the similarity of traffic patterns over the days along each of the intersection movements. In this paper, we study traffic variability and propose simple metrics to measure it based on traffic volume and traffic delay. We propose an automatic probe data-based method, for city-wide estimation of traffic variability. We discuss how such measures can be used for signal planning such as an indication of which intersections can benefit from dynamic but expensive traffic detection tools or in selecting plan resolution. Likewise, we discuss various methods to mitigate the impact of such variability. We demonstrate the framework based on real traffic statistics to study the traffic variability in the city of Haifa along its 162 intersections.

Original languageEnglish
Title of host publication2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Pages353-360
Number of pages8
ISBN (Electronic)9798350383119
DOIs
StatePublished - 2024
Externally publishedYes
Event16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024 - Bengaluru, India
Duration: 3 Jan 20247 Jan 2024

Publication series

Name2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024

Conference

Conference16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Country/TerritoryIndia
CityBengaluru
Period3/01/247/01/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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