Research on optimization of urban public transport network based on ant colony algorithm

Juan Li

doi:10.1117/12.2689428

7 September 2023 Research on optimization of urban public transport network based on ant colony algorithm

Juan Li

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905M (2023) https://doi.org/10.1117/12.2689428
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

Ant colony algorithm is a new general heuristic method for solving combinatorial optimization problems. The optimization of urban public transit network model is a complex nonlinear combinatorial optimization problem. In this paper, ant colony algorithm is used to study the optimization problem of urban public transport network model, and a mathematical model of urban public transport network is established. The model takes the shortest total travel time of passengers and the minimum public transport operation investment as the objective function, and on this basis, the corresponding algorithm is designed. The example proves the feasibility and effectiveness of the algorithm in urban public transport network optimization.

Citation Download Citation

Juan Li "Research on optimization of urban public transport network based on ant colony algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905M (7 September 2023); https://doi.org/10.1117/12.2689428

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