Arrangement method of parking spaces in underground garages based on improved genetic algorithm

Wengang Chen

doi:10.1117/12.2628223

22 April 2022 Arrangement method of parking spaces in underground garages based on improved genetic algorithm

Wengang Chen

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121631G (2022) https://doi.org/10.1117/12.2628223
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Due to the unreasonable layout scheme of underground garages, there are some deficiencies in the parking space planning results. Therefore, a research on the parking space layout method of community underground garage based on regional division is proposed. On the premise of analyzing the main influencing factors of parking space design of underground garage, the complex design area is divided into standard parking space area and non-standard parking space area, and the layout schemes of different areas are optimized by genetic algorithm. Under the adaptive strategy, all schemes are traversed, and finally the layout results with the advantages of all schemes are obtained. The experimental results show that the design method can increase the number of parking spaces in the same area.

Citation Download Citation

Wengang Chen "Arrangement method of parking spaces in underground garages based on improved genetic algorithm", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121631G (22 April 2022); https://doi.org/10.1117/12.2628223

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