@Article{jnm.2023.040252,
AUTHOR = {Zhiliang Deng, Dong Wang},
TITLE = {Research on Parking Path Planing Based on A-Star Algorithm},
JOURNAL = {Journal of New Media},
VOLUME = {5},
YEAR = {2023},
NUMBER = {1},
PAGES = {55--64},
URL = {http://www.techscience.com/JNM/v5n1/53134},
ISSN = {2579-0129},
ABSTRACT = {The issue of finding available parking spaces and mitigating congestion during parking is a persistent challenge for numerous car owners in urban areas. In this paper, we propose a novel method based on the A-star algorithm to calculate the optimal parking path to address this issue. We integrate a road impedance function into the conventional A-star algorithm to compute path duration and adopt a fusion function composed of path length and duration as the weight matrix for the A-star algorithm to achieve optimal path planning. Furthermore, we conduct simulations using parking lot modeling to validate the effectiveness of our approach, which can provide car drivers with a reliable optimal parking navigation route, reduce their parking costs, and enhance their parking experience.},
DOI = {10.32604/jnm.2023.040252}
}