Entropy-based optimization via A* algorithm for parking space recommendation

Xin Wei; Runqi Qiu; Houyu Yu; Yurun Yang; Haoyu Tian; Xiang Xiang

doi:10.1117/12.2619645

22 December 2021 Entropy-based optimization via A* algorithm for parking space recommendation

Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205811 (2021) https://doi.org/10.1117/12.2619645
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space. Our optimization approach is based on the entropy method and realized by the A* algorithm. In this algorithm, several evaluation indexes are introduced to make the algorithm more sensitive to environmental changes. Simulation experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route.

Citation Download Citation

Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, and Xiang Xiang "Entropy-based optimization via A* algorithm for parking space recommendation", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205811 (22 December 2021); https://doi.org/10.1117/12.2619645

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