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Self-interested autonomous vehicle cruise-induced congestion: Exploring system-optimal cruise pricing strategies

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  • Wang, Dong
  • Tang, Wei
  • Zhang, Hongyang
  • Mei, Zhenyu
  • Zhu, Zheng
  • Wang, Dianhai

Abstract

Autonomous vehicles (AVs) may exacerbate traffic congestion due to zero-occupant cruise to avoid parking and save parking fees. Congestion pricing strategies are considered as important solutions to reduce traffic congestion. However, there is still insufficient research on the congestion pricing strategy on zero-occupancy AVs, which we refer to as the cruise pricing strategy. Therefore, this paper explores and optimizes the impact of cruise pricing strategies on AVs cruise-induced traffic congestion. A Multi-Agent-Based Model (ABM) is constructed to simulate the parking and cruising behavior of zero-occupancy AVs and evaluate the impact of different cruise pricing strategies on traffic systems. Previous research on AVs cruise pricing strategies has largely overlooked actual travel patterns and road network conditions. In this paper, we use real traffic network and trip data in Hangzhou as a real-world case study, finding that AVs push the system into congestion in a completely self-interested way to save individual travel costs, which results in an additional 63.0% increase in the average travel time for travelers and a 58.7% increase in the total network Vehicle Kilometers Traveled (VKT). Compared to baseline pricing methods, the proposed link-based cruise pricing strategy can effectively minimize AVs cruise-induced traffic congestion while maintaining a balance between individual benefits and system-optimal goals.

Suggested Citation

  • Wang, Dong & Tang, Wei & Zhang, Hongyang & Mei, Zhenyu & Zhu, Zheng & Wang, Dianhai, 2025. "Self-interested autonomous vehicle cruise-induced congestion: Exploring system-optimal cruise pricing strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:transe:v:198:y:2025:i:c:s136655452500170x
    DOI: 10.1016/j.tre.2025.104129
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    References listed on IDEAS

    as
    1. Millard-Ball, Adam, 2019. "The autonomous vehicle parking problem," Transport Policy, Elsevier, vol. 75(C), pages 99-108.
    2. Eliasson, Jonas, 2008. "Lessons from the Stockholm congestion charging trial," Transport Policy, Elsevier, vol. 15(6), pages 395-404, November.
    3. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    4. de Grange, Louis & Troncoso, Rodrigo, 2011. "Impacts of vehicle restrictions on urban transport flows: The case of Santiago, Chile," Transport Policy, Elsevier, vol. 18(6), pages 862-869, November.
    5. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    6. Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
    7. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
    8. Rouwendal, Jan & Verhoef, Erik T., 2006. "Basic economic principles of road pricing: From theory to applications," Transport Policy, Elsevier, vol. 13(2), pages 106-114, March.
    9. Bahrami, Sina & Roorda, Matthew, 2022. "Autonomous vehicle parking policies: A case study of the City of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 283-296.
    10. Rich, Jeppe & Nielsen, Otto Anker, 2007. "A socio-economic assessment of proposed road user charging schemes in Copenhagen," Transport Policy, Elsevier, vol. 14(4), pages 330-345, July.
    11. Chao Zeng & Boming Tang & Tangzhi Liu, 2016. "Service Radius Model and Service Scope Optimization of City Public Parking Garage," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, June.
    12. Clements, Lewis M. & Kockelman, Kara M. & Alexander, William, 2021. "Technologies for congestion pricing," Research in Transportation Economics, Elsevier, vol. 90(C).
    13. Edoardo Croci & Aldo Ravazzi Douvan, 2016. "Urban Road Pricing: A Comparative Study on the Experiences of London, Stockholm and Milan," IEFE Working Papers 85, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    14. Zhengtian Xu & Xiaotong Sun, 2024. "Economic Analysis of On-Street Parking with Urban Delivery," Transportation Science, INFORMS, vol. 58(6), pages 1300-1318, November.
    15. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    16. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    17. Ieromonachou, P. & Potter, S. & Warren, J.P., 2006. "Norway's urban toll rings: Evolving towards congestion charging?," Transport Policy, Elsevier, vol. 13(5), pages 367-378, September.
    18. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    19. Jisoon Lim & Neda Masoud, 2024. "Dynamic Usage Allocation and Pricing for Curb Space Operation," Transportation Science, INFORMS, vol. 58(6), pages 1252-1276, November.
    20. Zheng, Nan & Waraich, Rashid A. & Axhausen, Kay W. & Geroliminis, Nikolas, 2012. "A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1291-1303.
    21. Sajjad Shafiei & Ziyuan Gu & Hanna Grzybowska & Chen Cai, 2023. "Impact of self-parking autonomous vehicles on urban traffic congestion," Transportation, Springer, vol. 50(1), pages 183-203, February.
    22. Alex Anas & Robin Lindsey, 2011. "Reducing Urban Road Transportation Externalities: Road Pricing in Theory and in Practice," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 66-88, Winter.
    23. Jun Yang & Avralt-Od Purevjav & Shanjun Li, 2020. "The Marginal Cost of Traffic Congestion and Road Pricing: Evidence from a Natural Experiment in Beijing," American Economic Journal: Economic Policy, American Economic Association, vol. 12(1), pages 418-453, February.
    24. Fábio Duarte & Carlo Ratti, 2018. "The Impact of Autonomous Vehicles on Cities: A Review," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(4), pages 3-18, October.
    25. Zhang, Wenwen & Wang, Kaidi, 2020. "Parking futures: Shared automated vehicles and parking demand reduction trajectories in Atlanta," Land Use Policy, Elsevier, vol. 91(C).
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