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Section Related Measures of Traffic System Performance: Final Report

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  • Ritchie, Stephen
  • Sun, Carlos

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.

Suggested Citation

  • Ritchie, Stephen & Sun, Carlos, 1998. "Section Related Measures of Traffic System Performance: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4sc0t3bv, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt4sc0t3bv
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    References listed on IDEAS

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    1. 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, vol. 28(2), pages 141-160, April.
    2. Coifman, Benjamin Andre, 1998. "Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d69n86x, Institute of Transportation Studies, UC Berkeley.
    3. Cascetta, Ennio & Nguyen, Sang, 1988. "A unified framework for estimating or updating origin/destination matrices from traffic counts," Transportation Research Part B: Methodological, Elsevier, vol. 22(6), pages 437-455, December.
    4. Janson, Bruce N. & Southworth, Frank, 1992. "Estimating departure times from traffic counts using dynamic assignment," Transportation Research Part B: Methodological, Elsevier, vol. 26(1), pages 3-16, February.
    5. Nancy L. Nihan & Gary A. Davis, 1989. "Application of Prediction-Error Minimization and Maximum Likelihood to Estimate Intersection O-D Matrices from Traffic Counts," Transportation Science, INFORMS, vol. 23(2), pages 77-90, May.
    6. Kapur, Kailash C., 1970. "Mathematical methods of optimization for multi-objective transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 4(4), pages 451-467, December.
    7. Bell, Michael G. H., 1991. "The real time estimation of origin-destination flows in the presence of platoon dispersion," Transportation Research Part B: Methodological, Elsevier, vol. 25(2-3), pages 115-125.
    8. Dailey, D. J., 1993. "Travel-time estimation using cross-correlation techniques," Transportation Research Part B: Methodological, Elsevier, vol. 27(2), pages 97-107, April.
    9. 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, vol. 29(2), pages 107-123, March.
    10. Van Zuylen, Henk J. & Willumsen, Luis G., 1980. "The most likely trip matrix estimated from traffic counts," Transportation Research Part B: Methodological, Elsevier, vol. 14(3), pages 281-293, September.
    11. Nihan, Nancy L. & Davis, Gary A., 1987. "Recursive estimation of origin-destination matrices from input/output counts," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 149-163, April.
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    Cited by:

    1. Soriguera, F. & Rosas, D. & Robusté, F., 2010. "Travel time measurement in closed toll highways," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1242-1267, December.
    2. Yi-Ming Guo & Zhen-Ling Huang & Ji Guo & Hua Li & Xing-Rong Guo & Mpeoane Judith Nkeli, 2019. "Bibliometric Analysis on Smart Cities Research," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    3. 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 qt3jq8609j, Institute of Transportation Studies, UC Berkeley.
    4. Zhang, Xiaoyan & Rice, John & Bickel, Peter, 1999. "Empirical Comparison of Travel Time Estimation Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6kt6082p, Institute of Transportation Studies, UC Berkeley.
    5. Ritchie, Stephen G. & Jeng, Shin-Ting Cindy & Tok, Yeow Chern Andre & Park, Seri, 2008. "Corridor Deployment and Investigation of Anonymous Vehicle Tracking for Real-Time Traffic Performance Measurement," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7hx5k9vt, Institute of Transportation Studies, UC Berkeley.

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