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Section Related Measures of Traffic System Performance: Final Report

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  • Ritchie, Stephen
  • Sun, Carlos
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    Abstract

    This project describes a new set of advanced traffic surveillance techniques that are based on inductive vehicle waveforms and pattern recognition technology. Focus is on demonstrating and evaluating a new method for obtaining true selection related performance measures, such as section travel time and section density, for freeways. The report also discusses methods for the measurement of lane-by-lane traffic movement and specific origin/destination demands.

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    File URL: http://www.escholarship.org/uc/item/4sc0t3bv.pdf;origin=repeccitec
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    Bibliographic Info

    Paper provided by Institute of Transportation Studies, UC Berkeley in its series Institute of Transportation Studies, Research Reports, Working Papers, Proceedings with number qt4sc0t3bv.

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    Date of creation: 01 Nov 1998
    Date of revision:
    Handle: RePEc:cdl:itsrrp:qt4sc0t3bv

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    Related research

    Keywords: Optical detectors; Traffic signs and signals--California--Lafayette; Advanced traffic management systems; Automatic vehicle identification;

    References

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    1. Kapur, Kailash C., 1970. "Mathematical methods of optimization for multi-objective transportation systems," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 4(4), pages 451-467, December.
    2. Chang, Gang-Len & Wu, Jifeng, 1994. "Recursive estimation of time-varying origin-destination flows from traffic counts in freeway corridors," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 28(2), pages 141-160, April.
    3. Van Zuylen, Henk J. & Willumsen, Luis G., 1980. "The most likely trip matrix estimated from traffic counts," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 14(3), pages 281-293, September.
    4. Bowerman, Robert & Hall, Brent & Calamai, Paul, 1995. "A multi-objective optimization approach to urban school bus routing: Formulation and solution method," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 29(2), pages 107-123, March.
    5. Janson, Bruce N. & Southworth, Frank, 1992. "Estimating departure times from traffic counts using dynamic assignment," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 26(1), pages 3-16, February.
    6. Cascetta, Ennio & Nguyen, Sang, 1988. "A unified framework for estimating or updating origin/destination matrices from traffic counts," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 22(6), pages 437-455, December.
    7. Nihan, Nancy L. & Davis, Gary A., 1987. "Recursive estimation of origin-destination matrices from input/output counts," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 21(2), pages 149-163, April.
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    Cited by:
    1. Zhang, Xiaoyan & Rice, John & Bickel, Peter, 1999. "Empirical Comparison of Travel Time Estimation Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings, Institute of Transportation Studies, UC Berkeley qt6kt6082p, Institute of Transportation Studies, UC Berkeley.
    2. Ritchie, Steven & Park, Seri & Oh, Cheol & Jeng, Shin-Ting & Tok, Andre, 2005. "Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies - Phase 2," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings, Institute of Transportation Studies, UC Berkeley qt3jq8609j, Institute of Transportation Studies, UC Berkeley.

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