Experimental Study of Effects of Travel Time Distribution Information on Dynamic Route Choice Behavior

This study focuses on the possibility that providing travelers with information on travel time distribution, along with the existing travel time information, might affect their decision making and enhance traffic control. As an initial step to confirm the effectiveness of travel time distribution information, we use a laboratory experiment to obtain panel data of route choices when information is provided. The rationality of the behavior of the respondents and the characteristics of the route choice are first analyzed by aggregation analysis and then statistically examined by specifying a mixed logit route choice model. As a result, it is revealed that both travel time information and maximum travel time information significantly affect route choice behavior when a penalty is imposed for late arrival.

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

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

[3]  Karl Petty,et al.  An extended macroscopic model for traffic flow , 1996 .

[4]  Craig Bartle,et al.  An analysis of effects of trend information upon route choice behaviour by in-laboratory experiment , 2008 .

[5]  Peter Jones,et al.  The acquisition of pre-trip information: A stated preference approach , 1993 .

[6]  André de Palma,et al.  Does providing information to drivers reduce traffic congestion , 1991 .

[7]  Joseph N. Prashker,et al.  The Impact of Travel Time Information on Travelers’ Learning under Uncertainty , 2006 .

[8]  Hani S. Mahmassani,et al.  Dynamic Aspects of Commuter Decisions Under Advanced Traveler Information Systems: Modeling Framework and Experimental Results , 1998 .

[9]  Barbara Kanninen,et al.  INTELLIGENT TRANSPORTATION SYSTEMS: AN ECONOMIC AND ENVIRONMENTAL POLICY ASSESSMENT , 1996 .

[10]  Takashi Oguchi,et al.  ANALYSIS OF TRAFFIC CONGESTION AND ROUTE CHOICE BEHAVIOR INFLUENCED BY TRAFFIC INFORMATION , 2003 .

[11]  Roberta Di Pace,et al.  The impact of travel information's accuracy on route-choice , 2013 .

[12]  Yasunori Iida,et al.  Effects of Dynamic Information System on Travel Time Reliability of Road Network , 2002 .

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

[14]  Hjp Harry Timmermans,et al.  Modeling the Impact of Travel Information on Activity–Travel Rescheduling Decisions Under Conditions of Travel Time Uncertainty , 2005 .

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

[16]  Caspar G. Chorus,et al.  The Value of Travel Information: A Search-Theoretic Approach , 2010, J. Intell. Transp. Syst..

[17]  Moshe Ben-Akiva,et al.  Dynamic network models and driver information systems , 1991 .

[18]  E. Molin,et al.  Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature , 2006 .

[19]  Peter Bonsall,et al.  The influence of route guidance advice on route choice in urban networks , 1991 .