Optimization method of mine waste transportation path in green and low carbon context based on improved particle swarm algorithm

Tingting Li; Junwen Zhang; Bao Wang

doi:10.1117/12.3039489

28 August 2024 Optimization method of mine waste transportation path in green and low carbon context based on improved particle swarm algorithm

Tingting Li, Junwen Zhang, Bao Wang

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514K (2024) https://doi.org/10.1117/12.3039489
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

In order to solve the optimal path decision-making problem between the application origin and destination of mine waste transportation vehicles, relying on the highway network database and the bridge access standard database, the optimal path decision-making problem of the application vehicles is transformed into the optimal path matching problem under the axle weight optimization. A multi-objective optimization model is established according to the spatial accessibility, bridge accessibility, economy and timeliness indexes, and a particle swarm algorithm based on nonlinear inertia weights and dynamic learning factors is used to improve the optimal solution, which is verified and analyzed with the application data of a mine waste vehicle as an example. The results show that the parameter-optimized mine waste transport vehicle can be The results show that the parameter-optimized bulky transport vehicle can match the passage path whose original passage conditions do not meet the requirements, and the new path makes full use of the highway capacity and saves time cost, which verifies the feasibility of the optimization method. The results show that the new path can fully utilize the road capacity and save time cost, which verifies the feasibility of the optimization method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tingting Li, Junwen Zhang, and Bao Wang "Optimization method of mine waste transportation path in green and low carbon context based on improved particle swarm algorithm", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514K (28 August 2024); https://doi.org/10.1117/12.3039489

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