DocumentCode :
65411
Title :
Why do drivers change route? effect of graphical route information panels
Author :
Hongcheng Gan
Author_Institution :
Dept. of Transp. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Volume :
9
Issue :
2
fYear :
2015
fDate :
3 2015
Firstpage :
128
Lastpage :
134
Abstract :
Studies that explore drivers´ decision behaviour under the graphical route information panels (GRIPs) via the discrete choice models have rarely been reported. In this paper, drivers´ route choice response to the GRIPs is quantitatively analysed by using the discrete choice models through a case study of a real-life GRIP in Shanghai, China. A logit model for predicting the route choice probabilities is developed to capture the relationship between the route choice probability, the driver attributes and the GRIP messages, respectively. The modelling results show that the drivers who have a larger annual driving mileage, access the traffic information via the electronic message signs in daily life highly value the GRIPs and drive their car mainly for the commuting purpose are more likely to divert from the original route to the alternate route under the GRIP; a driver´s perceived delay of the original route has a positive effect on his diversion decision under the GRIP; there exist differences in the GRIP response behaviour; the drivers are more likely to divert when the GRIP displays `red´ to indicate severe congestion on the original route; the female drivers are more sensitive to `red´ and more likely to divert.
Keywords :
behavioural sciences; driver information systems; graphical user interfaces; probability; China; GRIP messages; GRIP response behaviour; Shanghai; annual driving mileage; discrete choice models; diversion decision; driver attributes; driver decision behaviour; driver route choice response; electronic message signs; female drivers; graphical route information panels; logit model; perceived delay; route choice probability; traffic information access;
fLanguage :
English
Journal_Title :
Intelligent Transport Systems, IET
Publisher :
iet
ISSN :
1751-956X
Type :
jour
DOI :
10.1049/iet-its.2014.0028
Filename :
7042201
Link To Document :
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