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Uncertainty and variability in traffic signal calculations

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  • Heydecker, Benjamin

Abstract

The consequences of uncertainty and variability in data used for traffic signal calculations are investigated. A treatment of variable observations is devised and analysed. This shows that for small degrees of variability, use of mean values in conventional calculation methods will lead only to small losses in performance.

Suggested Citation

  • Heydecker, Benjamin, 1987. "Uncertainty and variability in traffic signal calculations," Transportation Research Part B: Methodological, Elsevier, vol. 21(1), pages 79-85, February.
    • Handle: RePEc:eee:transb:v:21:y:1987:i:1:p:79-85
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    Cited by:

    1. Jingwei Wang & Yin Han & Peng Li, 2022. "Integrated Robust Optimization of Scheduling and Signal Timing for Bus Rapid Transit," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    2. Li, Pengfei & Mirchandani, Pitu & Zhou, Xuesong, 2015. "Solving simultaneous route guidance and traffic signal optimization problem using space-phase-time hypernetwork," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 103-130.
    3. Fei, Xinyu & Wang, Xingmin & Yu, Xian & Feng, Yiheng & Liu, Henry & Shen, Siqian & Yin, Yafeng, 2023. "Traffic signal control under stochastic traffic demand and vehicle turning via decentralized decomposition approaches," European Journal of Operational Research, Elsevier, vol. 310(2), pages 712-736.
    4. Tianrui Hai & Gang Ren & Weihan Chen & Qi Cao & Changyin Dong, 2023. "A Heuristic Approach for Multi-Path Signal Progression Considering Traffic Flow Uncertainty," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    5. Yin, Yafeng, 2008. "Robust optimal traffic signal timing," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 911-924, December.

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