Title :
Vehicle Routing Algorithm Based on Real-Time Information
Author :
Saizheng, Wang ; Kejun, Long
Author_Institution :
Coll. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
The problem of vehicle routing is discussed in a traffic network with real-time information. Travel time on each link can be as a random variable in the traffic network, collects the Real-time traffic information and calculates the travel time before the vehicle enters the link, so we can obtain the shortest path. This paper presents an improved A * algorithm, which not only adapts to the dynamic traffic network, but also it is more efficient as it is based on point-to-point. This algorithm does not need a fixed path from original node to destination node, only to estimate the travel time from current position to destination node with real-time data and determine the next link when the vehicle arrives at some node.
Keywords :
graph theory; network theory (graphs); random processes; road traffic; road vehicles; A* algorithm; random variable; real-time traffic network information; shortest path problem; vehicle routing algorithm; Educational institutions; Heuristic algorithms; Intelligent networks; Intelligent vehicles; Navigation; Roads; Routing; Telecommunication traffic; Traffic control; Vehicle dynamics; A* algorithm; dynamic traffic network; travel time;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.678