IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt4sc0t3bv.html
   My bibliography  Save this paper

Section Related Measures of Traffic System Performance: Final Report

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4sc0t3bv.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    7. Dailey, D. J., 1993. "Travel-time estimation using cross-correlation techniques," Transportation Research Part B: Methodological, Elsevier, vol. 27(2), pages 97-107, April.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Jifeng & Chang, Gang-Len, 1996. "Estimation of time-varying origin-destination distributions with dynamic screenline flows," Transportation Research Part B: Methodological, Elsevier, vol. 30(4), pages 277-290, August.
    2. Li, Baibing & Moor, Bart De, 2002. "Dynamic identification of origin-destination matrices in the presence of incomplete observations," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 37-57, January.
    3. Zhang, Michael & Nie, Yu & Shen, Wei & Lee, Ming S. & Jansuwan, Sarawut & Chootinan, Piya & Pravinvongvuth, Surachet & Chen, Anthony & Recker, Will W., 2008. "Development of A Path Flow Estimator for Inferring Steady-State and Time-Dependent Origin-Destination Trip Matrices," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3nr033sc, Institute of Transportation Studies, UC Berkeley.
    4. Garcia, Reinaldo C., 2002. "Implementing A Dynamic O-D Estimation Algorithm within the Microscopic Traffic Simulator Paramics," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0n62j6nq, Institute of Transportation Studies, UC Berkeley.
    5. Lin, Pei-Wei & Chang, Gang-Len, 2007. "A generalized model and solution algorithm for estimation of the dynamic freeway origin-destination matrix," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 554-572, June.
    6. Sun, Carlos & Porwal, Himanshu, 2000. "Dynamic Origin/Destination Estimation Using True Section Densities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0f0711s6, Institute of Transportation Studies, UC Berkeley.
    7. K. Ashok & M. E. Ben-Akiva, 2000. "Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin–Destination Flows," Transportation Science, INFORMS, vol. 34(1), pages 21-36, February.
    8. Nie, Yu (Marco) & Zhang, H.M., 2008. "A variational inequality formulation for inferring dynamic origin-destination travel demands," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 635-662, August.
    9. Li, Baibing & De Moor, Bart, 1999. "Recursive estimation based on the equality-constrained optimization for intersection origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 33(3), pages 203-214, April.
    10. Zhang, Xiaoyan & Maher, Mike J., 1998. "The evaluation and application of a fully disaggregate method for trip matrix estimation with platoon dispersion," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 261-276, May.
    11. Garcia, Reinaldo C., 2003. "Implementing a Kalman Filtering Dynamic O-D Algorithm within Paramics- Analysing Quadstone Won Efforts for the Dynamic O-D Estimation Problem," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6vf61301, Institute of Transportation Studies, UC Berkeley.
    12. Sherali, Hanif D. & Park, Taehyung, 2001. "Estimation of dynamic origin-destination trip tables for a general network," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 217-235, March.
    13. Wu, Jifeng, 1997. "A real-time origin-destination matrix updating algorithm for on-line applications," Transportation Research Part B: Methodological, Elsevier, vol. 31(5), pages 381-396, October.
    14. Guo, Jianhua & Liu, Yu & Li, Xiugang & Huang, Wei & Cao, Jinde & Wei, Yun, 2019. "Enhanced least square based dynamic OD matrix estimation using Radio Frequency Identification data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 27-40.
    15. Chang, Gang-Len & Tao, Xianding, 1999. "An integrated model for estimating time-varying network origin-destination distributions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(5), pages 381-399, June.
    16. Louis Grange & Felipe González & Shlomo Bekhor, 2017. "Path Flow and Trip Matrix Estimation Using Link Flow Density," Networks and Spatial Economics, Springer, vol. 17(1), pages 173-195, March.
    17. Hjorth, U., 1999. "The inherent precision of regression estimated route probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 593-607, November.
    18. Hsun-Jung Cho & Yow-Jen Jou & Chien-Lun Lan, 2009. "Time Dependent Origin-destination Estimation from Traffic Count without Prior Information," Networks and Spatial Economics, Springer, vol. 9(2), pages 145-170, June.
    19. Huo, Jinbiao & Liu, Chengqi & Chen, Jingxu & Meng, Qiang & Wang, Jian & Liu, Zhiyuan, 2023. "Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    20. Menon, Aditya Krishna & Cai, Chen & Wang, Weihong & Wen, Tao & Chen, Fang, 2015. "Fine-grained OD estimation with automated zoning and sparsity regularisation," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 150-172.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt4sc0t3bv. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.