Design of intelligent freight management and Scheduling System for large-scale exhibitions
Conference: CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
06/17/2022 - 06/19/2022 at Nanjing, China
Proceedings: CAIBDA 2022
Pages: 6Language: englishTyp: PDF
Authors:
Zhang, Yang (School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing, China)
Hao, Xuejing (School of Economics and Management, Chongqing Jiaotong University, Chongqing, China)
Abstract:
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.