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Traffic Density Estimation with Consideration of Lane-Changing

Author

Listed:
  • Man-Feng Chang

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York)

  • Dunos C. Gazis

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York)

Abstract

The, Kalman filtering methodology developed in the past for the density estimation of a roadway section is extended to include explicit consideration of lane-changing on a multilane freeway. It is found that the estimation error may be reduced in this fashion, the reduction ranging up to as much as 40 percent. As is to be expected, the reduction of error in greater when the roadway section is longer arid hence the number of lane-changes greater.

Suggested Citation

  • Man-Feng Chang & Dunos C. Gazis, 1975. "Traffic Density Estimation with Consideration of Lane-Changing," Transportation Science, INFORMS, vol. 9(4), pages 308-320, November.
    • Handle: RePEc:inm:ortrsc:v:9:y:1975:i:4:p:308-320
    DOI: 10.1287/trsc.9.4.308
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    Cited by:

    1. Bekiaris-Liberis, Nikolaos & Roncoli, Claudio & Papageorgiou, Markos, 2017. "Highway traffic state estimation per lane in the presence of connected vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 1-28.
    2. Coifman, Benjamin & Varaiya, Pravin, 2002. "Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6tp5w2gt, Institute of Transportation Studies, UC Berkeley.
    3. Coifman, Benjamin, 2003. "Estimating density and lane inflow on a freeway segment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 689-701, October.

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