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Robust optimal traffic signal timing

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  • Yin, Yafeng

Abstract

The performance of signal timings obtained by using conventional approaches for pre-timed control systems is often unstable under fluctuating traffic conditions. This paper presents three models to determine robust optimal signal timings that are less sensitive to fluctuations of traffic flows or perform better against the worst-case scenario without losing much optimality. Computational experiments are conducted to validate the model formulations and solution algorithms.

Suggested Citation

  • Yin, Yafeng, 2008. "Robust optimal traffic signal timing," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 911-924, December.
    • Handle: RePEc:eee:transb:v:42:y:2008:i:10:p:911-924
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    Cited by:

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    8. Chiou, Suh-Wen, 2018. "A traffic-responsive signal control to enhance road network resilience with hazmat transportation in multiple periods," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 105-118.
    9. Omid, M. Rouhani, 2013. "Queue Dissipation Shockwave Speed for Signalized Intersections," MPRA Paper 53161, University Library of Munich, Germany.
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    11. Krasimira Stoilova & Todor Stoilov, 2023. "Optimizing Traffic Light Green Duration under Stochastic Considerations," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    12. Miroslav Vujić & Martin Gregurić & Luka Dedić & Daniela Koltovska Nečoska, 2023. "The Impact of Unconditional Priority for Escorted Vehicles in Traffic Networks on Sustainable Urban Mobility," Sustainability, MDPI, vol. 16(1), pages 1-14, December.
    13. Sun, Qipeng & He, Chen & Wang, Yongjie & Liu, Hang & Ma, Fei & Wei, Xiao, 2022. "Reducing violation behaviors of pedestrians considering group interests of travelers at signalized crosswalk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    14. 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.
    15. Chow, Andy H.F. & Pavlides, Aris, 2018. "Cost functions and multi-objective timetabling of mixed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 335-356.
    16. Li, Li & Li, Xiaopeng, 2019. "Parsimonious trajectory design of connected automated traffic," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 1-21.
    17. Dai, Tianxing & Li, Jiayang & Nie, Yu (Marco), 2023. "Accessibility-based ethics-aware transit design," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    18. Allahviranloo, Mahdieh & Chow, Joseph Y.J. & Recker, Will W., 2014. "Selective vehicle routing problems under uncertainty without recourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 68-88.
    19. C. Cromvik & M. Patriksson, 2010. "On the Robustness of Global Optima and Stationary Solutions to Stochastic Mathematical Programs with Equilibrium Constraints, Part 2: Applications," Journal of Optimization Theory and Applications, Springer, vol. 144(3), pages 479-500, March.
    20. Junwoo Song & Simon Hu & Ke Han & Chaozhe Jiang, 2020. "Nonlinear Decision Rule Approach for Real-Time Traffic Signal Control for Congestion and Emission Mitigation," Networks and Spatial Economics, Springer, vol. 20(3), pages 675-702, September.
    21. Schmitt, Marius & Lygeros, John, 2020. "On convexity of the robust freeway network control problem in the presence of prediction and model uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 167-190.
    22. Zhong, Shaopeng & Cheng, Rong & Jiang, Yu & Wang, Zhong & Larsen, Allan & Nielsen, Otto Anker, 2020. "Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).

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