Design of intelligent freight management and Scheduling System for large-scale exhibitions

The paper proposes a large-scale exhibition intelligent freight system including four subsystems: reservation, public information display, real-time monitoring, and scheduling of vehicles; This study aims to determine the optimal planning of exhibition road freight paths, seeking to minimize transportation costs and find the shortest route while considering the impact of road conditions. For this purpose, an improved ant colony algorithm is used to develop a model for freight route planning. The simulation experiment results demonstrate that the improved ant colony algorithm offers significant advantages in terms of efficiency and quality of solutions. By reducing freight costs and increasing freight efficiency, it is possible to plan and select the optimal freight path.