Route Choice Behaviour of Freeway Travellers Under Real-time Traffic Information Provision – Application of the Best Route and the Habitual Route Choice Mechanisms

Abstract This paper investigates route choice behaviour on freeways between Taipei and Taichung in Taiwan under the provision of real-time traffic information. Two types of route choice selection rules (the best-route and habitual-route) are analysed using ordered probit models to identify the major influences on freeway travellers’ route choice behaviour. The level of service associated with each route is defined as a generalised cost saving (GCS) and specified non-linearly with a threshold inherent to travellers. The marginal (dis)utility thresholds in the ‘best’ and ‘habitual’ behaviour models are identified through a goodness-of-fit grid. The results confirm that the thresholds for changing the inertia behaviour of drivers should be larger than the ones for choosing the best routes. In addition, the drivers are more likely to choose either the best or the habitual routes once the GCS are greater than the identified threshold values.

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

[2]  P. Schmidt,et al.  Incentives, Morality, Or Habit? Predicting Students’ Car Use for University Routes With the Models of Ajzen, Schwartz, and Triandis , 2003 .

[3]  Peter Nijkamp,et al.  INFORMATION PROVISION IN ROAD TRANSPORT WITH ELASTIC DEMAND. A WELFARE ECONOMIC APPROACH. IN: TRANSPORT AND INFORMATION SYSTEMS , 1996 .

[4]  E D Ramsay,et al.  An evaluation of VicRoads' Drive Time System , 1997 .

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

[6]  Zhiyong Guo,et al.  Investigating the Effect of User Behavior Factors and Transportation Control Measures on Day-to-Day Network Evolution and Trip Time Reliability , 2005 .

[7]  Hani S. Mahmassani,et al.  Bounded Rationality in Commuter Decision Dynamics , 1998 .

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

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

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

[11]  Gwo-Hshiung Tzeng,et al.  Using a weight-assessing model to identify route choice criteria and information effects , 2001 .

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

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

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

[15]  F. Viti,et al.  JOINT MODELING OF ATIS, HABIT AND LEARNING IMPACTS ON ROUTE CHOICE BY LABORATORY SIMULATOR EXPERIMENTS , 2005 .

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

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

[18]  William H. Greene,et al.  LIMDEP version 8.0 : reference guide , 2002 .

[19]  Serge P. Hoogendoorn,et al.  Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments , 2005 .

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

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

[22]  Wander Jager,et al.  Human decision making and environmental perception: Understanding and assisting human decision making in real-life settings : liber amicorum for Charles Vlek , 2003 .

[23]  Sherif Ishak,et al.  Impact of traffic diversion with ATIS on travelers' safety , 1998 .

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

[25]  P. Nijkamp,et al.  Endogenising demand for information in road transport , 1996 .

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

[27]  Yu-Hsin Liu,et al.  Route switching behavior on freeways with the provision of different types of real-time traffic information , 2005 .

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