Measuring traffic congestion using space occupancy in real time for ITS applications

Ghulam H. Bham, Rahim F Benekohal

Research output: Contribution to conferencePaper

Abstract

The paper presents space occupancy (SOC) as a measure of state of traffic congestion in real time. To accurately measure state of traffic, space occupancy (SOC) is calculated as the percentage length of highway occupied by vehicles, taking into account length of every vehicle. The paper presents the concepts of SOC and describes the usefulness of utilizing SOC compared to density. The relationship between SOC and density is also determined and a traffic simulation model CELLSIM is used to evaluate the accuracy of each parameter. The parameters were studied using different length of vehicles and mix of traffic. SOC more accurately determines the magnitude of congestion and may be used to set accurate thresholds of traffic congestion. The concepts described can be applied to incident detection in real time control of network traffic flow in intelligent Transportation Systems.

Original languageEnglish (US)
Pages183-190
Number of pages8
StatePublished - Jan 1 2002
EventProceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation - Cambridge, MA, United States
Duration: Aug 5 2002Aug 7 2002

Other

OtherProceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation
CountryUnited States
CityCambridge, MA
Period8/5/028/7/02

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bham, G. H., & Benekohal, R. F. (2002). Measuring traffic congestion using space occupancy in real time for ITS applications. 183-190. Paper presented at Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation, Cambridge, MA, United States.