Empirical Evaluation of Drivers’ Route Choice Behavioral Responses to Social Navigation

Even though route choice behavior and drivers’ acceptance of advanced traveler information systems have been studied in the past, little or no attention has been given to the route choice behavior and acceptance response to social navigation systems. What separates social navigation systems from traditional traffic navigation is that the route advice aims to minimize the individual travel time and the marginal total travel time in the network. In this study, drivers’ behavioral responses to social navigation route guidance were empirically evaluated under different information and incentive strategies. A traffic navigation application based on social navigation was developed and used in a pilot multiuser laboratory experiment. Participants were asked to make route choices in a virtual travel environment under various information and incentive strategies. Drivers were more willing to comply with the social advice when they were well informed and well rewarded. The results also show that female and novice drivers are more willing to comply with the social advice than are male drivers and experienced drivers. Aside from the level of altruism, a driver's indifference to switching routes also affects a driver's compliance with social advice.

[1]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[2]  Jing Bie,et al.  Economic Incentives to Influence Drivers' Route Choices for Safety Enhancement , 2010 .

[3]  R. Jayakrishnan,et al.  Modeling Framework to Analyze Effect of Multiple Traffic Information Service Providers on Traffic Network Performance , 2013 .

[4]  Hani S. Mahmassani,et al.  Comparative analysis of robustness of centralized and distributed network route control systems in incident situations , 1996 .

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

[6]  Serge P. Hoogendoorn,et al.  A revealed preference study on route choices in a congested network with real-time information , 2012 .

[7]  L. Chu Adaptive Kalman Filter Based Freeway Travel time Estimation , 2004 .

[8]  Xiong Qian,et al.  User-Optimal and System-Optimal Route Choices for a Large Road Network , 2004 .

[9]  Ian Palmer,et al.  Validating the results of a route choice simulator Transportation Research C 5 , 1997 .

[10]  Daniel Krajzewicz,et al.  Evaluation of the Performance of City-Wide, Autonomous Route Choice Based on Vehicle-to-Vehicle Communication , 2008 .

[11]  Serge P. Hoogendoorn,et al.  Validation of a multimodal travel simulator with travel information provision , 2007 .

[12]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[13]  Song Gao,et al.  Strategic Thinking and Risk Attitudes in Route Choice , 2010 .

[14]  R. Minciardi,et al.  A decentralized optimal control scheme for route guidance in urban road networks , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[15]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[16]  Joseph Y. J. Chow,et al.  Genetic Algorithm to Estimate Cumulative Prospect Theory Parameters for Selection of High-Occupancy-Vehicle Lane , 2010 .

[17]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[18]  Tim Roughgarden,et al.  How bad is selfish routing? , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.

[19]  Linda Steg,et al.  Pricing in Road Transport , 2008 .

[20]  Hani S. Mahmassani,et al.  System optimal and user equilibrium time-dependent traffic assignment in congested networks , 1995, Ann. Oper. Res..

[21]  Hai Yang,et al.  Managing network mobility with tradable credits , 2011 .

[22]  Jeffrey L. Adler,et al.  A conflict model and interactive simulator (FASTCARS) for predicting enroute driver behavior in response to real-time traffic condition information , 1993 .

[23]  Song Gao,et al.  A rank-dependent expected utility model for strategic route choice with stated preference data , 2013 .

[24]  Bart van Arem,et al.  Reducing time delays on congested road networks using social navigation , 2011, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems.

[25]  Jiang Zhang,et al.  A Zero Public Infrastructure Vehicle Based Traffic Information System , 2003 .

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

[27]  Hani S. Mahmassani,et al.  Network performance under system optimal and user equilibrium dynamic assignments: Implications for , 1993 .

[28]  T. Gärling,et al.  Pricing in Road Transport: A multi-disciplinary perspective , 2008 .

[29]  Victor L. Knoop,et al.  Integrated Lane Change Model with Relaxation and Synchronization , 2012 .

[30]  Hani S. Mahmassani,et al.  Modeling Inertia and Compliance Mechanisms in Route Choice Behavior Under Real-Time Information , 2000 .

[31]  Haris N. Koutsopoulos,et al.  A driving simulator and its application for modeling route choice in the presence of information , 1994 .

[32]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

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

[34]  Rolf H. Möhring,et al.  System-optimal Routing of Traffic Flows with User Constraints in Networks with Congestion System-optimal Routing of Traffic Flows with User Constraints in Networks with Congestion , 2022 .

[35]  Xu Yang,et al.  Modeling Dynamic Vehicle Navigation in a Self-Organizing, Peer-to-Peer, Distributed Traffic Information System , 2006, J. Intell. Transp. Syst..

[36]  P. Frijters,et al.  Altruism in Society: Evidence from a Natural Experiment Involving Commuters , 2011, SSRN Electronic Journal.

[37]  I. Ajzen The theory of planned behavior , 1991 .

[38]  Terry L. Friesz,et al.  A COMPARISON OF SYSTEM OPTIMUM AND USER EQUILIBRIUM DYNAMIC TRAFFIC ASSIGNMENTS WITH SCHEDULE DELAYS , 1995 .

[39]  C. Vlek,et al.  Are Pricing Policies Effective to Change Car Use , 2007 .

[40]  Eran Ben-Elia,et al.  Which road do I take? A learning-based model of route-choice behavior with real-time information , 2010 .