This paper investigated the optimal deployment problem of electric vehicle lanes to maximize the utilization of electric vehicles in the future. By considering charging demands and driving limitation of electric vehicles, which are obviously distinguishable from gasoline-powered vehicles, a bi-level programing model was presented to solve the proposed problem. The lower level problem was formulated as a user equilibrium assignment model to describe drivers' transport modes and routes choice behaviors. The upper level program was a system optimal model for optimizing electric vehicle lanes deployment scheme to minimize the total system travel costs. A Frank-Wolfe algorithm was utilized to assign traffic demands of electric and gasoline vehicles in the lower level model, and the upper level program was solved by a genetic algorithm. Finally, numerical results obtained from an example network are presented to demonstrate the effectiveness of the model and the solution method.
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