Vehicle detector deployment strategies for the estimation of network origin - destination demands using partial link traffic counts

Shou Ren Hu, Chang Ming Wang

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Making valid inferences about network origin -destination (OD) demands from limited link traffic count data requires a carefully structured data-collection strategy. Determination of the required number of vehicle detectors (VDs) and their installation in strategic locations for OD estimation purposes is essentially a network location problem. In this paper, a mathematical programming framework based on a user equilibrium assumption was developed to determine the most desirable locations for the deployment of VDs. A linearly independent model was also developed to deal with the network location problem. Proposed models were evaluated under different network sizes and varying OD demand levels. Numerical results are explained. These findings can beneficially contribute to the preparation of a desirable VD deployment plan in a general network.

Original languageEnglish
Article number4518953
Pages (from-to)288-300
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Volume9
Issue number2
DOIs
Publication statusPublished - 2008 Jun 1

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Detectors
Mathematical programming

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

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Vehicle detector deployment strategies for the estimation of network origin - destination demands using partial link traffic counts. / Hu, Shou Ren; Wang, Chang Ming.

In: IEEE Transactions on Intelligent Transportation Systems, Vol. 9, No. 2, 4518953, 01.06.2008, p. 288-300.

Research output: Contribution to journalArticle

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