TY  - EJOU
AU  - Deng, Zhiliang 
AU  - Wang, Dong 

TI  - Research on Parking Path Planing Based on A-Star Algorithm
T2  - Journal of New Media

PY  - 2023
VL  - 5
IS  - 1
SN  - 2579-0129

AB  - 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.
KW  - A-Star Algorithm; path planning; intelligent transportation

DO  - 10.32604/jnm.2023.040252