The organization and coordination are vital for the transportation efficiency of the transport fleet. There are several studies focused on the optimization of the single vehicle operation to respond to the changing traffic environment, and then the system efficiency is improved accordingly. However, the separated optimization scheme limited the utilization effectiveness of the fleet advantages in the cargo freight. Hence, an innovative edge-cloud collaborative optimization strategy is proposed in this paper to adjust the operation way of each vehicle from the perspective of system. The utility model of the single vehicle is established firstly, and then the system utility is built using the asymmetric game theory. The weight coefficient of each vehicle is designed according to the vehicle types and cargo types. Finally, the non-linear optimization model is solved using the genetic algorithm (GA). The simulation results show that the system performance of the fleet operation efficiency is improved greatly using the edge-cloud collaborative optimization strategy proposed in this paper.

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