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Trade-offs between vehicular and pedestrian traffic using micro-simulation methods

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  • Ishaque, Muhammad Moazzam
  • Noland, Robert B.

Abstract

A simple hypothetical network is analysed using the VISSIM micro-simulation model to study the effects of signal cycle timings on delay and travel time costs for both vehicles and pedestrians in various pedestrian phasing scenarios. To examine cost trade-offs between pedestrians and vehicles various multi-attribute weighting criteria are applied to different components of travel delay using relative values of time. Results show that the policy selection when considering pedestrians may differ from that when just considering vehicular traffic, which is currently standard practice. The multi-criteria analysis approach developed here makes it possible to optimise network performance and costs across all modes of travel.

Suggested Citation

  • Ishaque, Muhammad Moazzam & Noland, Robert B., 2007. "Trade-offs between vehicular and pedestrian traffic using micro-simulation methods," Transport Policy, Elsevier, vol. 14(2), pages 124-138, March.
    • Handle: RePEc:eee:trapol:v:14:y:2007:i:2:p:124-138
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    References listed on IDEAS

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    1. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    2. Brilon, Werner, 1994. "Traffic engineering and the new German highway capacity manual," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(6), pages 469-481, November.
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    Cited by:

    1. Farzaneh Montazeri & Fausto Errico & Luc Pellecuer, 2022. "Comparison of the Performance of Hybrid Traffic Signal Patterns and Conventional Alternatives When Accounting for Both Pedestrians and Vehicles," Sustainability, MDPI, vol. 14(20), pages 1-33, October.
    2. Nam Seok Kim & Seung Sub Yoon & Donghyung Yook, 2017. "Performance comparison between pedestrian push-button and pre-timed pedestrian crossings at midblock: a Korean case study," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 706-721, August.
    3. Fadyushin Alexey & Zakharov Dmitrii, 2020. "Influence of the Parameters of the Bus Lane and the Bus Stop on the Delays of Private and Public Transport," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    4. Li, Xiang & Sun, Jian-Qiao, 2015. "Studies of vehicle lane-changing to avoid pedestrians with cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 251-271.
    5. Biao Yin & Monica Menendez & Kaidi Yang, 2021. "Joint Optimization of Intersection Control and Trajectory Planning Accounting for Pedestrians in a Connected and Automated Vehicle Environment," Sustainability, MDPI, vol. 13(3), pages 1-25, January.
    6. Li, Xiang & Sun, Jian-Qiao, 2014. "Effect of interactions between vehicles and pedestrians on fuel consumption and emissions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 661-675.
    7. Li, Xiang & Sun, Jian-Qiao, 2016. "Effects of vehicle–pedestrian interaction and speed limit on traffic performance of intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 335-347.

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