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A General Traffic Equilibrium Framework with Ride-Hailing Services That Considers Flow-Dependent Waiting Time and Public Transit
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2024-05-01
[PDF-784.52 KB]
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Edition:Research Report (June 2023 - May 2024)
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Abstract:We develop a general traffic equilibrium model that considers ride-hailing services provided by Transportation Network Companies (TNCs, e.g., Uber and Lyft) and customer waiting. The equilibrium model integrates three interacting sub-models, including TNCs' decision on dispatching ride-hailing vehicles, travelers' choice of which mode to use, and queueing dynamics that explicitly capture customers' waiting costs. The TNCs’ choices and customers’ choices together form a generalized Nash equilibrium, coupled with the queueing system of customer waiting. We provide the conditions under which there exists an equilibrium solution. Then the proposed model is validated in the Sioux-Falls networks. Numerical experiments show that compared with our method, an existing method and a linear waiting cost function tend to underestimate the waiting cost of ride-hailing customers. As a result, they overestimate the mode share of ride-hailing customers and the vehicle miles traveled in the system.
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