Why do drivers change route? effect of graphical route information panels

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.

[1]  Chien-Jung Lai,et al.  Drivers' comprehension of traffic information on graphical route information panels. , 2012, Accident; analysis and prevention.

[2]  Grit Schonfeld,et al.  DYNAMIC DRIVER INFORMATION GOES GRAPHICAL : A NEW QUALITY IN URBAN TRAFFIC INFORMATION , 2000 .

[3]  G. Kloot MELBOURNE'S ARTERIAL TRAVEL TIME SYSTEM , 1999 .

[4]  Constantinos Antoniou,et al.  Development of a Mixed Multi-Nomial Logit Model to Capture the Impact of Information Systems on Travelers' Switching Behavior , 2007, J. Intell. Transp. Syst..

[5]  Nick Hounsell,et al.  Driver response to variable message sign information in London , 2002 .

[6]  June Wei,et al.  A simulation tool for in-vehicle navigation systems evaluation , 2012, Int. J. Mob. Commun..

[7]  H Matsushima,et al.  GRAPHIC INFORMATION PROVISION SYSTEM ON METROPOLITAN EXPRESSWAY , 2000 .

[8]  Wang Qing,et al.  Graphical route information panel and macroscopic simulation based investigation of its control benefits , 2009, 2009 IEEE International Conference on Control and Automation.

[9]  Zhong-Ren Peng,et al.  Motorist Response to Arterial Variable Message Signs , 2004 .

[10]  Jorge Ramos,et al.  Content of Variable Message Signs and On-Line Driver Behavior , 2000 .

[11]  P. Nijkamp,et al.  Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour , 1996 .

[12]  Hongcheng Gan,et al.  Urban freeway user' diversion response to variable message sign displaying the travel time of both freeway and local street , 2012 .

[13]  Mohamed Abdel-Aty,et al.  USING STATED PREFERENCE DATA FOR STUDYING THE EFFECT OF ADVANCED TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE , 1997 .

[14]  Hongcheng Gan Graphical route information panel for the urban freeway network in Shanghai, China , 2010 .

[15]  Ka-Hung Lai,et al.  SP APPROACH TOWARD DRIVER COMPREHENSION OF MESSAGE FORMATS ON VMS , 2000 .

[16]  Peter Bonsall,et al.  Driver response to variable message signs: a stated preference investigation , 1997 .

[17]  Guohui Zhang,et al.  INVESTIGATE THE EFFECTIVENESS OF GRAPHIC ROUTE INFORMATION PANELS THROUGH A SURVEY STUDY , 2011 .

[18]  Lijun Sun,et al.  Advanced traveler information system for metropolitan expressways in Shanghai, China , 2006 .

[19]  Yang Bai,et al.  Why do people change routes? Impact of information services , 2013, Ind. Manag. Data Syst..