DocumentCode :
2902685
Title :
Empirical study of drivers´ learning behavior and reliance on VMS
Author :
Zhao Dan ; Shao Chunfu
Author_Institution :
MOE Key Lab. for Urban Transp. Complex Syst. Theor. & Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2010
fDate :
19-22 Sept. 2010
Firstpage :
1614
Lastpage :
1619
Abstract :
Variable message signs (VMS) are helpful assisting drivers in selecting appropriate routes and improving the efficiency and utilities of road networks. Although VMS have been welcomed by drivers, but their compliance with VMS suggestions is low. By reviewing lots of literatures, the factors that influence drivers´ learning behavior and route choice behavior under VMS are summarized, and it is found that drivers´ reliance on VMS is a critical factor connecting drivers´ learning behavior and route choice behavior in their decision-making process. Since reliance is difficult to quantize, a structural equation model is introduced based on the problem pattern to measure it, also the casual relationship of drivers´ personal attributes, route choice behavior, learning behavior and reliance on VMS are clarified. The specified model demonstrated excellent fitness with multiple measures, and the empirical results and conclusions have been proved to be logical.
Keywords :
decision making; driver information systems; decision-making process; driver learning behavior; personal attributes; road network; route choice behavior; route selection; structural equation model; variable message signs; Analytical models; Driver circuits; Educational institutions; Equations; Indexes; Mathematical model; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
Conference_Location :
Funchal
ISSN :
2153-0009
Print_ISBN :
978-1-4244-7657-2
Type :
conf
DOI :
10.1109/ITSC.2010.5625168
Filename :
5625168
Link To Document :
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