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Reliability-Based Mixed Traffic Equilibrium Problem Under Endogenous Market Penetration of Connected Autonomous Vehicles and Uncertainty in Supply

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  • Qi Zhong

    (Tsinghua University)

  • Lixin Miao

    (Tsinghua University)

Abstract

In this paper, we consider a novel reliability-based network equilibrium problem for mixed traffic flows of human-driven vehicles (HVs) and connected autonomous vehicles (CAVs) with endogenous CAV market penetration and stochastic link capacity degradations. Travelers’ perception errors on travel time and their risk-aversive behaviors on mode choice and path choice are incorporated in the model with a hierarchical choice structure. Due to the differences between HVs and CAVs, the perception errors and the safety margin reserved by risk-averse travelers are assumed to be related to the vehicle type. The path travel time distribution is derived by using the moment-matching method based on the assumption that link capacity follows lognormal distribution and link travel times are correlated. Then, the underlying problem is formulated as an equivalent variational inequality problem. A path-based algorithm embedded with the Monte Carlo simulation-based method is proposed to solve the model. Numerical experiments are conducted to illustrate the features of the model and the computational performance of the solution algorithm.

Suggested Citation

  • Qi Zhong & Lixin Miao, 2024. "Reliability-Based Mixed Traffic Equilibrium Problem Under Endogenous Market Penetration of Connected Autonomous Vehicles and Uncertainty in Supply," Networks and Spatial Economics, Springer, vol. 24(2), pages 461-505, June.
    • Handle: RePEc:kap:netspa:v:24:y:2024:i:2:d:10.1007_s11067-024-09621-7
    DOI: 10.1007/s11067-024-09621-7
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    References listed on IDEAS

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