Corridor selection method of new highway based on NNIA genetic algorithm

Wenhao Wu; Xinyu Zhu; Shengzhao Wang; Li He

doi:10.1117/12.3015772

20 February 2024 Corridor selection method of new highway based on NNIA genetic algorithm

Wenhao Wu, Xinyu Zhu, Shengzhao Wang, Li He

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130642P (2024) https://doi.org/10.1117/12.3015772
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

The selection of the highway corridor is very significant in the early stage of highway construction, and its rationality determines the economy, environmental protection, and safety of the whole life cycle of the construction project. Existing corridor selection methods are mainly based on the subjective experience of designers and lack intelligent corridor selection technology with strong operability. Therefore, a corridor selection method for new highways based on Nondominated Neighbor Immune Algorithm (NNIA) and Affinity Propagation (AP) clustering algorithm was proposed. Firstly, the mathematical model of the corridor was built. Secondly, considering the environmental and economic factors during the corridor selection stage, the optimization objective function was established. Lastly, the corridor was generated by using the NNIA and AP clustering algorithms. This method was applied to the project from Dezhou to Shangrao Highway from Qimen to the boundary of Anhui and Jiangxi provinces. The corridor generated was consistent with the trend of the actual route of the project, which had certain engineering feasibility.

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

Citation Download Citation

Wenhao Wu, Xinyu Zhu, Shengzhao Wang, and Li He "Corridor selection method of new highway based on NNIA genetic algorithm", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130642P (20 February 2024); https://doi.org/10.1117/12.3015772

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