Route switching behavior on freeways with the provision of different types of real-time traffic information

This study investigates route switching behavior on freeways in reaction to the provision of different types of real-time traffic information. The experimental design of the stated preference survey is based on four types of real-time information provided to travelers who were randomly selected at rest areas. The four types of real-time information defined in this paper are qualitative, quantitative, qualitative guidance, and quantitative guidance. The bounded rationality framework, also known as indifference band approach, is applied to model the freeway route switching behavior. Two important variables, travel time and travel cost, are included in the indifference band. In this study, the best route switching rule, travelers' current routes as compared to the best route, is investigated to further provide valuable insights into freeways travelers' route switching behavior with the provision of different types of real-time traffic information.

[1]  Kay W. Axhausen,et al.  Effects of information in road transport networks with recurrent congestion , 1995 .

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

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

[4]  Kay W. Axhausen,et al.  The potential of information provision in a simulated road transport network with non-recurrent congestion , 1995 .

[5]  Thomas F. Golob,et al.  A STRUCTURAL MODEL WITH DISCRETE-CHOICE VARIABLES FOR PREDICTING ENROUTE BEHAVIOR UNDER ATIS , 1993 .

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

[7]  Hani S. Mahmassani,et al.  DYNAMICS OF COMMUTING DECISION BEHAVIOR UNDER ADVANCED TRAVELER INFORMATION SYSTEMS , 1999 .

[8]  Hani S. Mahmassani,et al.  Effect of Information Quality on Compliance Behavior of Commuters Under Real-Time Traffic Information , 1999 .

[9]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[10]  David M Levinson,et al.  The Value of Advanced Traveler Information Systems for Route Choice , 2003 .

[11]  Hani S. Mahmassani,et al.  Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: a dynamic kernel logit formulation , 2003 .

[12]  T. Garling.  Theoretical Foundations of Travel Choice Modeling , 1998 .

[13]  Asad J. Khattak,et al.  Commuters' enroute diversion and return decisions: Analysis and implications for advanced traveler information systems , 1993 .

[14]  Mohamed Abdel-Aty,et al.  Modeling drivers' diversion from normal routes under ATIS using generalized estimating equations and binomial probit link function , 2004 .

[15]  B. Benson.  MOTORIST ATTITUDES ABOUT CONTENT OF VARIABLE-MESSAGE SIGNS , 1996 .

[16]  H. Mahmassani,et al.  BOUNDED RATIONALITY IN COMMUTER DECISION DYNAMICS: INCORPORATING TRIP CHAINING IN DEPARTURE TIME AND ROUTE SWITCHING DECISIONS. , 1998 .

[17]  Hani S. Mahmassani,et al.  On Boundedly Rational User Equilibrium in Transportation Systems , 1987, Transp. Sci..

[18]  F. Koppelman,et al.  Stated preferences for investigating commuters' diversion propensity , 1993 .

[19]  Hani S. Mahmassani,et al.  Dynamic models of commuter behavior: Experimental investigation and application to the analysis of planned traffic disruptions , 1990 .

[20]  Rong-Chang Jou,et al.  Modeling the impact of pre-trip information on commuter departure time and route choice , 2001 .

[21]  H. Mahmassani,et al.  GLOBAL MAXIMUM LIKELIHOOD ESTIMATION PROCEDURE FOR MULTINOMIAL PROBIT (MNP) MODEL PARAMETERS , 2000 .

[22]  Woodrow Barfield,et al.  A survey-based methodology to determine information requirements for advanced traveler information systems , 1995 .

[23]  Hussein Dia,et al.  An agent-based approach to modelling driver route choice behaviour under the influence of real-time information , 2002 .

[24]  Jeffrey L. Adler,et al.  Investigating the learning effects of route guidance and traffic advisories on route choice behavior , 2001 .

[25]  Chih-Cheng Chen,et al.  Real time traffic information and its impacts on route switching behavior of expressway drivers , 2004 .

[26]  M. Taniguchi,et al.  Incorporating an information acquisition process into a route choice model with multiple information sources , 1999 .