Jia, Q. and Liu, C., 2020. Intelligent scheduling method of port vehicles based on probability information. In:Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 726–729. Coconut Creek (Florida), ISSN 0749-0208.

The current port vehicle scheduling method cannot monitor the cargo information in real time, and cannot guarantee the lowest transportation time and cost. Therefore, a new intelligent scheduling method for port vehicles based on probability information is proposed. The hardware configuration and deployment scheme are introduced to provide support for real-time vehicle scheduling. On this basis, the paper analyzes the working process of vehicle transportation and the main forms and ways to realize reasonable transportation, establishes the intelligent scheduling model of port vehicles with the goal of the shortest total transportation time and the lowest total scheduling cost, and solves the model by Tabu search method. The experimental results show that the overall transportation time and cost of the proposed method are lower than those of other methods.