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. Experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route while being robust to environmental factors.
@article{arxiv.2104.09461,
title = {Entropy-based Optimization via A* Algorithm for Parking Space Recommendation},
author = {Xin Wei and Runqi Qiu and Houyu Yu and Yurun Yang and Haoyu Tian and Xiang Xiang},
journal= {arXiv preprint arXiv:2104.09461},
year = {2021}
}