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Multiple equilibrium behaviors of auto travellers and a freight carrier under the cordon-based large-truck restriction regulation

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  • Wang, Hua
  • Meng, Qiang
  • Zhang, Xiaoning

Abstract

The cordon-based large-truck restriction regulation (CBLTRR) makes large truck based cargo movement process interrupted because large trucks are deterred from moving into some specified areas within given time periods. As a result, cargoes carried by a large truck need to be transferred from the large truck to small ones at a freight distribution center (FDC) for the last few miles. This study aims to analyze the multiple equilibrium behaviors for auto travellers and one freight carrier under the CBLTRR. A link flow based generalized Nash equilibrium (GNE) model is first developed to characterize mixed routing behaviors of these two types of users. In the model, auto travellers follow first Wardropian principle to find their individual shortest paths, while the freight carrier minimizes its total freight cost. We then proceed to explore the existence and uniqueness of pure strategy equilibrium, and reduction to variational inequality. When the pure strategy equilibrium does not exist or is intractable, we propose an approach to construct a mixed equilibrium with restricted action space (i.e., the path choice set) (called restricted mixed equilibrium). The restricted action space is formed based on recurring best-responses of two types of users which could reflect their actual interactive decisions of a non-cooperative traffic pattern evolution. A solution algorithm is developed to find those equilibriums. The developed models and solution algorithms are evaluated and their potential applications are illustrated through numerical experiments.

Suggested Citation

  • Wang, Hua & Meng, Qiang & Zhang, Xiaoning, 2020. "Multiple equilibrium behaviors of auto travellers and a freight carrier under the cordon-based large-truck restriction regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
  • Handle: RePEc:eee:transe:v:134:y:2020:i:c:s1366554519311172
    DOI: 10.1016/j.tre.2019.101829
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    1. Duan, Liwei & Tavasszy, Lorant A. & Rezaei, Jafar, 2019. "Freight service network design with heterogeneous preferences for transport time and reliability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 1-12.
    2. Yang, Choon-Heon & Regan, A C, 2007. "Impacts of Left Lane Truck Restriction on Urban Freeways," University of California Transportation Center, Working Papers qt5jd8h01t, University of California Transportation Center.
    3. Schulte, Frederik & Lalla-Ruiz, Eduardo & González-Ramírez, Rosa G. & Voß, Stefan, 2017. "Reducing port-related empty truck emissions: A mathematical approach for truck appointments with collaboration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 195-212.
    4. Parry, Ian W.H., 2008. "How should heavy-duty trucks be taxed?," Journal of Urban Economics, Elsevier, vol. 63(2), pages 651-668, March.
    5. Wang, Hua & Wang, Xinchang & Zhang, Xiaoning, 2017. "Dynamic resource allocation for intermodal freight transportation with network effects: Approximations and algorithms," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 83-112.
    6. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
    7. Wang, Hua & Zhang, Xiaoning, 2016. "Joint implementation of tradable credit and road pricing in public-private partnership networks considering mixed equilibrium behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 158-170.
    8. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun, 2008. "Multiclass multicriteria mixed equilibrium on networks and uniform link tolls for system optimum," European Journal of Operational Research, Elsevier, vol. 189(1), pages 146-158, August.
    9. (Walker) Wang, Wei & Wang, David Z.W. & Sun, Huijun & Feng, Zengzhe & Wu, Jianjun, 2016. "Braess Paradox of traffic networks with mixed equilibrium behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 95-114.
    10. Patrick T. Harker, 1988. "Multiple Equilibrium Behaviors on Networks," Transportation Science, INFORMS, vol. 22(1), pages 39-46, February.
    11. P. W. G. Newman & B. Alimoradian & T. J. Lyons, 1989. "Estimating Fleet Fuel Consumption for Vans and Small Trucks," Transportation Science, INFORMS, vol. 23(1), pages 46-50, February.
    12. Harker, Patrick T., 1991. "Generalized Nash games and quasi-variational inequalities," European Journal of Operational Research, Elsevier, vol. 54(1), pages 81-94, September.
    13. Yang, Hai & Zhang, Xiaoning & Meng, Qiang, 2007. "Stackelberg games and multiple equilibrium behaviors on networks," Transportation Research Part B: Methodological, Elsevier, vol. 41(8), pages 841-861, October.
    14. Chen, Zhibin & He, Fang & Yin, Yafeng & Du, Yuchuan, 2017. "Optimal design of autonomous vehicle zones in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 44-61.
    15. He, Fang & Yin, Yafeng & Shirmohammadi, Nima & Nie, Yu (Marco), 2013. "Tradable credit schemes on networks with mixed equilibrium behaviors," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 47-65.
    16. Mallick, Indrajit, 2011. "On the existence of pure strategy Nash equilibria in two person discrete games," Economics Letters, Elsevier, vol. 111(2), pages 144-146, May.
    17. He, Bingsheng & He, Xiao-Zheng & Liu, Henry X. & Wu, Ting, 2009. "Self-adaptive projection method for co-coercive variational inequalities," European Journal of Operational Research, Elsevier, vol. 196(1), pages 43-48, July.
    18. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.
    19. Yang, Hai & Zhang, Xiaoning, 2008. "Existence of anonymous link tolls for system optimum on networks with mixed equilibrium behaviors," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 99-112, February.
    20. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
    21. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.
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