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Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections

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  • Dion, Francois
  • Rakha, Hesham
  • Kang, Youn-Soo

Abstract

Delay is an important parameter that is used in the optimization of traffic signal timings and the estimation of the level of service at signalized intersection approaches. However, delay is also a parameter that is difficult to estimate. While many methods are currently available to estimate the delays incurred at intersection approaches, very little research has been conducted to assess the consistency of these estimates. This paper addresses this issue by comparing the delays that are estimated by a number of existing delay models for a signalized intersection approach controlled in fixed-time and operated in a range of conditions extending from under-saturated to highly saturated. Specifically, the paper compares the delay estimates from a deterministic queuing model, a model based on shock wave theory, the steady-state Webster model, the queue-based models defined in the 1981 Australian Capacity Guide, the 1995 Canadian Capacity Guide for Signalized Intersections, and the 1994 and 1997 versions of the Highway Capacity Manual (HCM), in addition to the delays estimated from the INTEGRATION microscopic traffic simulation software. The results of the comparisons indicate that all delay models produce similar results for signalized intersections with low traffic demand, but that increasing differences occur as the traffic demand approaches saturation. In particular, it is found that the delay estimates from the INTEGRATION microscopic simulation model generally follow the delay estimates from the time-dependent models defined in the 1997 HCM, 1995 Canadian Capacity Guide, and 1981 Australian Capacity Guide over the entire range of traffic conditions considered.

Suggested Citation

  • Dion, Francois & Rakha, Hesham & Kang, Youn-Soo, 2004. "Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 99-122, February.
  • Handle: RePEc:eee:transb:v:38:y:2004:i:2:p:99-122
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    Cited by:

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    4. Omid, M. Rouhani, 2013. "Queue Dissipation Shockwave Speed for Signalized Intersections," MPRA Paper 53161, University Library of Munich, Germany.
    5. Arshad Jamal & Muhammad Tauhidur Rahman & Hassan M. Al-Ahmadi & Irfan Ullah & Muhammad Zahid, 2020. "Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    6. Yu, Chunhui & Ma, Wanjing & Han, Ke & Yang, Xiaoguang, 2017. "Optimization of vehicle and pedestrian signals at isolated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 135-153.
    7. Boon, Marko A.A. & van Leeuwaarden, Johan S.H., 2018. "Networks of fixed-cycle intersections," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 254-271.
    8. Cho, Hsun-Jung & Tseng, Ming-Te & Hwang, Ming-Chorng, 2014. "Using detection of vehicular presence to estimate shockwave speed and upstream traffics for a signalized intersection," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 1151-1165.
    9. Mohajerpoor, Reza & Saberi, Meead & Ramezani, Mohsen, 2019. "Analytical derivation of the optimal traffic signal timing: Minimizing delay variability and spillback probability for undersaturated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 45-68.
    10. Srivastava, Anupam & Jin, Wen-Long & Lebacque, Jean-Patrick, 2015. "A modified Cell Transmission Model with realistic queue discharge features at signalized intersections," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 302-315.
    11. Luo, Xiaoqian & Wang, Dianhai & Ma, Dongfang & Jin, Sheng, 2019. "Grouped travel time estimation in signalized arterials using point-to-point detectors," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 130-151.
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    13. Rouhani, Omid M., 2013. "Queue Dissipation Shockwave Speed– A Signalized Intersection Case Study," 54th Annual Transportation Research Forum, Annapolis, Maryland, March 21-23, 2013 206954, Transportation Research Forum.
    14. António Pacheco & Maria Lurdes Simões Simões & Paula Milheiro-Oliveira, 2017. "Queues with Server Vacations as a Model for Pretimed Signalized Urban Traffic," Transportation Science, INFORMS, vol. 51(3), pages 841-851, August.
    15. Douglas Bish & Edward Chamberlayne & Hesham Rakha, 2013. "Optimizing Network Flows with Congestion-Based Flow Reductions," Networks and Spatial Economics, Springer, vol. 13(3), pages 283-306, September.
    16. Aleksandar Jovanović & Dušan Teodorović, 2017. "Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 556-576, July.
    17. Yin, Yafeng, 2008. "Robust optimal traffic signal timing," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 911-924, December.
    18. Yaping Dong & Jinliang Xu & Xingliang Liu & Chao Gao & Han Ru & Zhihao Duan, 2019. "Carbon Emissions and Expressway Traffic Flow Patterns in China," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    19. Alejandro Tirachini & David Hensher & Michiel Bliemer, 2014. "Accounting for travel time variability in the optimal pricing of cars and buses," Transportation, Springer, vol. 41(5), pages 947-971, September.
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    21. Chai, Linguo & Liu, Xiangyan & ShangGuan, Wei & Wang, Jian & Cai, Baigen, 2023. "Parallel spatiotemporal slot-based heterogeneous vehicle hybrid coordinating method at intersections under intelligent network environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).

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