Title :
Improved hierarchical A-star algorithm for optimal parking path planning of the large parking lot
Author :
Liping Cheng ; Chuanxi Liu ; Bo Yan
Author_Institution :
Dept. of Electr. & Mech. Eng., Shandong Univ. of Sci. & Technol., Taian, China
Abstract :
Which path was the optimal path in a large parking guidance system? Obviously, only considering the shortest distance is not enough, only considering the shortest time is an ideal goal but not easy to realize, so introduced a feasible time-optimal evaluation in parking path planning. It can not only simplify hardware design of the guidance system, but also reduce the software cost. Mathematical model R (P, C, D, V) of the parking lot network diagram was established, the all nodes in R (P, C, D, V) were divided into two layers and different evaluation functions were built. According to the improved time-optimal evaluation, the design used the improved A-star algorithm to increase searching efficiency and precision. Finally, the result of running the program shows that the algorithm can quickly find out the different time-optimal path for different attribute parameter.
Keywords :
path planning; road traffic control; search problems; attribute parameter; evaluation functions; hierarchical A-star algorithm; optimal parking path planning; parking guidance system; parking lot; parking lot network diagram; software cost reduction; time-optimal evaluation; Algorithm design and analysis; Artificial intelligence; Indexes; Optimization; Path planning; Roads; Vehicles; attribute parameter; evaluation function; hierarchical A-star algorithm; node; time-optimal;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932742