Optimization of traffic count locations for estimation of stochastic origin-destination demands under uncertainty with sensor failure

Hao Fu, William H.K. Lam, Hu Shao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Stochastic OD demands are usually estimated from the link flows observed by traffic counting sensors over time. Unavoidably, traffic counting sensors located in the road network are subject to failure such that these links with failed sensors are not capable to obtain the link flows. This paper addresses the traffic count location optimization problem considering sensor failure to estimate mean and covariance of OD demands. The information loss of stochastic OD demands due to failed sensors can be quantified by the proposed criteria. Based on these criteria, the traffic count locations are optimized to minimize the information loss of stochastic OD demand estimates considering the uncertainty of sensor failure. To solve the proposed integer programming model, the Genetic Algorithm (GA) is used. Numerical examples are presented to demonstrate the effects of sensor failure on the estimation accuracy of stochastic OD demands.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
PublisherHong Kong Society for Transportation Studies Limited
Pages447-453
Number of pages7
ISBN (Electronic)9789881581488
Publication statusPublished - 1 Jan 2010
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 14 Dec 201916 Dec 2019

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
CountryHong Kong
CityHong Kong
Period14/12/1916/12/19

Keywords

  • Covariance
  • Sensor failure
  • Sensor locations
  • Stochastic OD estimation

ASJC Scopus subject areas

  • Building and Construction
  • Information Systems
  • Civil and Structural Engineering
  • Transportation
  • Computer Networks and Communications

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