Special roads set up in highway used to realize dynamic wireless charging for In-motion electric vehicles that leads to a profound change in the field of traffic engineering. However

on the premise of the maximum charging effect of EV

how to schedule and manage such vehicles to improve traffic safety and road capacity is a key issue that cannot be avoided. Therefore

this paper first establishes the vehicle scheduling model of the system. A new reverse elitist mutation particle swarm optimization (REMPSO) algorithm is proposed.And its rapidity

stability and optimization ability are proved by comparing with the traditional particle swarm optimization and genetic algorithm. Finally

this algorithm is used to solve the system model

and the optimal moving isolation partition is obtained. Based on cooperative vehicle infrastructure system

the paper provides a feasible control strategy for the right of way scheduling of dynamic wireless charging for In-motion EV.