Paper
28 August 2024 Research on dynamic parking space allocation for temporary reservation users
Yang Liu, Peng-hui Qin, Yun-feng Zhang, Xu-hui Zhangsun
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132516I (2024) https://doi.org/10.1117/12.3039656
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
To address the issue of parking difficulties in urban commercial areas, this paper proposes a solution based on shared parking strategies. It leverages the available parking resources in surrounding residential areas to enhance parking facility utilization. The study addresses the traditional static parking space allocation problem and devises a dynamic parking space allocation service mechanism catering to temporary reservation users. Additionally, it considers delayed parking users and establishes a dual-objective function aiming to maximize platform profit while optimizing user walking convenience. Through analysis of model results, the performance indicators of the allocation outperform those of static parking space allocation mechanisms, validating the feasibility and applicability of shared parking dynamic allocation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yang Liu, Peng-hui Qin, Yun-feng Zhang, and Xu-hui Zhangsun "Research on dynamic parking space allocation for temporary reservation users", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132516I (28 August 2024); https://doi.org/10.1117/12.3039656
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KEYWORDS
Buildings

Genetic algorithms

Particle swarm optimization

Computer programming

Mathematical optimization

Numerical analysis

Transportation

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