DocumentCode :
3476746
Title :
Optimal Route Selection Method Based on Grey Incidence Analysis
Author :
Sun, Yan ; Wu, Yi ; Sun, Zheng
Author_Institution :
Ocean Univ. of China, Qingdao
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2495
Lastpage :
2499
Abstract :
One function of an in-vehicle traffic flow guidance system is route planning. Given a set of origin-destination (O/D) pair, there could be many possible routes for a driver. A useful traffic flow guidance system should have the capability to support the driver effectively in deciding on an optimal route to his preference. The objective of this work is to model the driver behavior in the area of route selection. In particular, the research focuses on an optimal route selection function in a typical in- vehicle navigation system or dynamic route guidance (DRG) system. In this paper, we want to emphasize the need to orientate the route selection method on the driver´s preference. Each feasible route has a set of attributes. Based on the improved AHP and grey incidence analysis, an adaptive optimal route selection method to a driver´s preference is proposed, and the corresponding decision support system is also developed, which paves for the development of the traffic flow guidance system.
Keywords :
decision support systems; road traffic; road vehicles; traffic engineering computing; adaptive optimal route selection; decision support system; driver behavior model; dynamic route guidance; grey incidence analysis; in-vehicle navigation system; in-vehicle traffic flow guidance system; origin-destination; route planning; Adaptive control; Decision support systems; Educational institutions; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Oceans; Roads; Sun; Traffic control; AHP; decision support system; driver´s preference; grey incidence analysis; optimal route selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338998
Filename :
4338998
Link To Document :
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