Simulation of rail-road intermodal distribution based on real-time routing algorithm

Junlin Sha; Dongyan Dong; Yue Zhang

doi:10.1117/12.2653258

20 October 2022 Simulation of rail-road intermodal distribution based on real-time routing algorithm

Junlin Sha, Dongyan Dong, Yue Zhang

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123502E (2022) https://doi.org/10.1117/12.2653258
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

Route planning is the key technical difficulty of logistics distribution. In this paper, a mathematical model is established for road network selection and real-time path planning. The improved genetic algorithm is used to select the road network of rail transit. Based on the traditional ant colony algorithm, the time-varying factor and line risk factor are introduced to improve the algorithm in line with real-time path planning. The experimental results show that the improved algorithm can change the route more quickly and accurately according to the real-time traffic changes to effectively improve the logistics transportation efficiency for complex routes and traffic conditions, and save the transportation cost.

Citation Download Citation

Junlin Sha, Dongyan Dong, and Yue Zhang "Simulation of rail-road intermodal distribution based on real-time routing algorithm", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123502E (20 October 2022); https://doi.org/10.1117/12.2653258

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