Research on bus transit route network design problem considering actual road network and depot scale

Wentao Gao

doi:10.1117/12.3010216

20 October 2023 Research on bus transit route network design problem considering actual road network and depot scale

Wentao Gao

Author Affiliations +

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128141Q (2023) https://doi.org/10.1117/12.3010216
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

The bus transit route network design problem (BTRNDP) has long attracted research attention, with many metaheuristic approaches proposed for its solution. In this paper, a road network model is established to describe actual road traffic conditions in detail. A model considering depot scale for minimizing the total length of bus network is formulated for the BTRNDP. Genetic algorithm with binary tournament selection and OX order crossover is used to generate iteratively new populations (set of bus networks). Each member of the population is evaluated by computing its total length and the best one is selected as the final solution. The effectiveness of the model and algorithm is proved by experiment carried out in Pinggu District. The bus network we get achieves a larger area coverage with shorter lines and more balanced depot use while all constraints satisfied.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wentao Gao "Research on bus transit route network design problem considering actual road network and depot scale", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128141Q (20 October 2023); https://doi.org/10.1117/12.3010216

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