Title :
Intelligent vehicle routing system
Author :
Teodorovic, Dusan ; Lucic, Panta
Author_Institution :
Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
In this research, an “intelligent” vehicle routing system is developed. Applications of the system are considered for the stochastic vehicle routing problem (demand at the nodes is treated as a random variable and the actual demand value is known only after the visit to the node). The developed “intelllgent” system makes “online” decisions as to whether to reject or include a new node into developing vehicle route. The results are found to be very close to the best solution assuming that the future node demand pattern is known. The system applications appear to be very promising
Keywords :
automobiles; fuzzy control; fuzzy set theory; intelligent control; navigation; real-time systems; fuzzy control; fuzzy set theory; intelligent vehicle routing system; node demand pattern; stochastic processes; sweep algorithm; Automotive engineering; Costs; Fuzzy systems; Heating; Intelligent vehicles; Random variables; Routing; Stochastic processes; Stochastic systems; Transportation;
Conference_Titel :
Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-5971-2
DOI :
10.1109/ITSC.2000.881116
