Скачать или смотреть Mixed traffic optimization considering road reservation travel based on the bi-level model

Reservation travel has gradually become an important strategy to alleviate urban traffic congestion
by finely matching traffic supply and demand. In order to quantify the effectiveness of the
reservation travel strategy, ordinary vehicles and reservation vehicles are considered, The
reservation travel problem is formulated as a Bi-level Programming (BP), where the upper-level
objective is to maximize traffic demand, while the lower-level model considers the System
Optimal-Stochastic User Equilibrium (SO-SUE) mixed traffic equilibrium. The equivalence of the
mixed equilibrium problem and the existence of the solution are proved. On the basis of the WOA
algorithm, combined with the lower-level Partan Frank-Wolfe algorithm, the traffic assignment
solution process is connected to the upper-level as a function. A Whale Optimization Algorithm
(WOA) nested Partan Frank-Wolfe algorithm is proposed to solve the model. Finally, the SiouxFalls network numerical experiment proves that the reservation travel has a gratifying benefit in
alleviating traffic congestion. By comparing the Vehicle-to-Capacity (V/C) ratio and cost before
and after the implementation of reservation, it shows the effectiveness of reservation travel for
urban traffic congestion management, and discusses the impact of the number of reserved roads
and reservation trends on road network capacity, service level and travel cost under the
implementation of reservation travel.