Title :
Parking guidance system based on intelligent terminal
Author :
Yi Huang ; Fang Xiao ; Yiming Shen
Author_Institution :
Guangdong Televehicle Inf. Technol. Service Co., Ltd., Guandong, China
Abstract :
In this paper, we studied the progression of parking guidance system technology and application in recent years. We carried on the demand analysis according to parking guidance system. We designed the architecture of parking guidance system. we introduced the ant colony algorithm, and improved the heuristic function and strategy for topology updating of ant colony algorithm based on busy state road factor. We searched the optimal traffic path by using improved ant colony algorithm. We built the structural model of parking location, described the concept of optimal path in this paper. We completed the simulation experiment and analyzed the result of optimal driving path simulation experiment.
Keywords :
ant colony optimisation; road traffic; ant colony algorithm; busy state road factor; heuristic function; intelligent terminal; optimal traffic path concept; parking guidance system technology; parking location structural model; topology updating strategy; Mathematical model; Radiofrequency identification; Vehicles; Ant colony algorithm; Intelligent terminal; Optimal path; Parking guidance system;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175799