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A dynamic pricing strategy for high occupancy toll lanes

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  • Jang, Kitae
  • Chung, Koohong
  • Yeo, Hwasoo

Abstract

High Occupancy Toll (HOT) lanes are emerging as a solution to the underutilization of High Occupancy Vehicle (HOV) lanes and also a means to generate revenue for the State Departments of Transportation. This paper proposes a method to determine the toll price dynamically in response to the changes in traffic condition, and describes the procedures for estimating the essential parameters. Such parameters include expected delays, available capacity for toll-paying vehicles and distribution of travelers’ value of time (VOT). The objective function of the proposed pricing strategy can be flexibly modified to minimize delay, maximize revenue or combinations of specified levels of delay and revenue. Real-world data from a 14-mile of freeway segment in the San Francisco Bay Area are used to demonstrate the applicability and feasibility of the proposed method, and findings and implications from this case study are discussed.

Suggested Citation

  • Jang, Kitae & Chung, Koohong & Yeo, Hwasoo, 2014. "A dynamic pricing strategy for high occupancy toll lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 69-80.
    • Handle: RePEc:eee:transa:v:67:y:2014:i:c:p:69-80
    DOI: 10.1016/j.tra.2014.05.009
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    Cited by:

    1. M Rouhani, Omid, 2016. "Social welfare analysis of HOV to HOT conversion," MPRA Paper 75816, University Library of Munich, Germany.
    2. Zang, Guangzhi & Xu, Meng & Gao, Ziyou, 2020. "High-occupancy vehicle lane management with tradable credit scheme: An equilibrium analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    3. Wencheng Huang & Bin Shuai & Eric Antwi, 2019. "A two-stage optimization approach for subscription bus services network design: the China case," Public Transport, Springer, vol. 11(3), pages 589-616, October.
    4. Xiqun (Michael) Chen & Xiang He & Chenfeng Xiong & Zheng Zhu & Lei Zhang, 2019. "A Bayesian Stochastic Kriging Optimization Model Dealing with Heteroscedastic Simulation Noise for Freeway Traffic Management," Transportation Science, INFORMS, vol. 53(2), pages 545-565, March.

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