Unspread the Jam: Scheduling Traffic Lights to Reduce Congestion

Yoav Levi, Ayal Taitler, Isaac Keslassy

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

Abstract

In this paper, we consider the practical problem of scheduling traffic lights to reduce the average vehicle waiting times. We find that existing scheduling algorithms have lackluster performance. Instead, we introduce two algorithms. First, extended CMSM (eCMSM), which extends CMSM from a switch scheduling model to a general traffic-light scheduling model. We prove that eCMSM can optimally schedule any traffic batch. Second, we introduce Front-Pressure (FP), which aims to further reduce the average waiting time at general intersections. We then evaluate empirically these two algorithms. We find that when using them, the best average waiting time can be improved in 98% of the simulations when compared to several existing algorithms, most significantly in congested settings.

Original languageEnglish
Title of host publication2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)9781538663783
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/TerritoryIsrael
CityEilat
Period12/12/1814/12/18

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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