DocumentCode :
691048
Title :
Path Selection Algorithm Based on Grey Incidence Decision
Author :
Na Lin ; Qihui Bao
Author_Institution :
Dept. of Comput., Shenyang Aerosp. Univ. Shenyang, Shenyang, China
fYear :
2013
fDate :
21-23 Sept. 2013
Firstpage :
442
Lastpage :
446
Abstract :
Most drivers often make route choices according to their preferences in our real life, and they have different requirements for different path attributes. In this paper, the problem for optimal path selection with driver\´s preference is studied and path selection algorithm based on Grey Incidence Decision is put forward. Firstly, a path selection index system was constructed in order to reflect the driver\´s preference. Analytic Hierarchy Process was used to calculate the driver\´s preference coefficient for the path. Secondly, since the process of path selection in Route Guidance System is complex and contains a lot of "grey" information, the method based on Grey Incidence Decision was proposed to sort paths. Finally, an actual network was used to simulate, the combination of Analytic Hierarchy Process and Grey Incidence Decision searched the optimal path reflecting driver\´s preferences. The simulation results show that the proposed path selection algorithm has good feasibility and applicability.
Keywords :
analytic hierarchy process; intelligent transportation systems; road traffic; traffic engineering computing; analytic hierarchy process; driver preference; grey incidence decision; grey information; path attributes; path selection algorithm; path selection index system; route choices; route guidance system; Adaptive systems; Analytic hierarchy process; Correlation; Indexes; Roads; Vectors; Vehicles; Analytic Hierarchy Process; Grey Incidence Decision; Path selection index system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/IMCCC.2013.101
Filename :
6840490
Link To Document :
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