Determination of Network Origin-Destination Matrices Using Partial Link Traffic Counts and Virtual Sensor Information in an Integrated Corridor Management Framework

The performance of a network origin-destination (O-D) demand estimation model is strongly dependent on the quantity and quality of traffic data collected by different types of traffic sensors. The purpose of the Network Sensor Location Problem is to determine the optimal, minimum number of required traffic sensors and identify their corresponding installation locations, especially under the limited budget constraints of highway agencies. The collected partial link and path flow data are crucial inputs used to estimate corresponding O-D demands in a vehicular network. The strategic deployment of heterogeneous traffic sensors for network O-D demand estimation is a critical subject in transportation network science. The purpose of this study is to develop an integrated heterogeneous sensor deployment model to estimate network O-D demands. One of the unique aspects of the proposed model framework is that it does not require the unreasonable assumption of known prior O-D demand information, turning proportions, or route choice probabilities, enabling the network O-D demand and path flow estimation problems to be more practically traceable.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    NEXTRANS

    Purdue University
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    Research and Innovative Technology Administration

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  • Authors:
    • Hu, Shou-Ren
    • Liou, Han-Tsung
    • Peeta, Srinivas
    • Zheng, Hong
  • Publication Date: 2014-4-7

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 46p

Subject/Index Terms

Filing Info

  • Accession Number: 01529291
  • Record Type: Publication
  • Report/Paper Numbers: Project No. 056PY03
  • Contract Numbers: DTRT07-G-0005
  • Files: UTC, TRIS, RITA, ATRI, USDOT
  • Created Date: Jun 30 2014 9:41AM