The driver as an active learner: customising real time traveller information

While traveller information services deliver increasingly sophisticated incident reports, journey times and other such information, driver response has remained lukewarm. We suggest that the problem lies in understanding the driver rather than improving the content. This paper reports that drivers principally learn from their experiences and addresses fundamental questions arising from an Australian study identifying how drivers learn to apply available information. Preliminary data from the study suggests that commuter drivers travelling a new route for the first time display no more expertise than novices. When presented with dynamic, customised traveller information, the study suggests that commuter drivers enter a learning curve affected by previous experience and immediate need. Design of an effective traveller information system, it is argued, necessitates the targeted provision of information, sensitive to this evolving driver capacity.

[1]  Sarah Redshaw Changing driving behaviour - a cultural approach , 2001 .

[2]  Daniel Brand,et al.  What Advanced Traveler Information System Information Do Users Want? Evidence from In-Vehicle Navigation Device Users , 1999 .

[3]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[4]  Satoshi Fujii,et al.  Drivers’ Learning and Network Behavior: Dynamic Analysis of the Driver-Network System as a Complex System , 1999 .

[5]  Hussein Dia,et al.  Analysis of commuters' responses to travel information: implications for ATIS deployment in Brisbane , 2000 .

[6]  Mark Whitmore,et al.  BEAT THE JAM: TRAFFIC SERVICES FOR SHELL MOBILE HONG KONG , 2002 .

[7]  Karl E Wunderlich,et al.  TIME MANAGEMENT BENEFITS OF ATIS FOR UNFAMILIAR URBAN DRIVERS , 2002 .

[8]  J Bottom,et al.  Route guidance and information systems , 2001 .

[9]  Jane Lappin Advanced Traveler Information Service (ATIS): Who are ATIS Customers? , 2000 .

[10]  Ronald Koo,et al.  Commuter Response to Traffic Information on an Incident , 1998 .

[11]  M. Knowles The Modern Practice of Adult Education: From Pedagogy to Andragogy , 1970 .

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

[13]  M. Polanyi Personal Knowledge: Towards a post-critical philosophy , 1959 .

[14]  Robert B. Burns,et al.  Introduction to Research Methods , 2015, Research Methods for Political Science.

[15]  Ann K. Deakin Potential of Procedural Knowledge to Enhance Advanced Traveler Information Systems , 1997 .

[16]  Jane Lappin,et al.  Advanced Traveler Information Service (ATIS): What do ATIS Customers Want? , 2000 .

[17]  C Yang,et al.  DYNAMIC MODELLING OF THE IMPACT OF DRIVER INFORMATION SYSTEMS , 2001 .

[18]  J. Novak,et al.  Educational Psychology: A Cognitive View , 1969 .

[19]  Eliahu Stern,et al.  Reactions to congestion under time pressure , 1999 .

[20]  Frank S. Koppelman,et al.  Designing ATIS for familiar drivers: Preliminary behavioural concepts , 1999 .

[21]  Donald L. Fisher,et al.  The Framing of Drivers' Route Choices when Travel Time Information Is Provided under Varying Degrees of Cognitive Load , 2000, Hum. Factors.

[22]  R. S. Trayford,et al.  DELIVERY OF REAL-TIME AND PREDICTIVE TRAVEL TIME INFORMATION: EXPERIENCES FROM A MELBOURNE TRIAL , 2000 .

[23]  Ryuichi Kitamura,et al.  Impact Of ATIS On Drivers' Decisions And Route Choice: A Literature Review , 1993 .

[24]  P G Jackson,et al.  In search of better route guidance instructions. , 1998, Ergonomics.

[25]  Charles Karl,et al.  Trialing a traveller information system for Melbourne , 2000 .

[26]  Peter Nijkamp,et al.  Scope of Driver Information Systems , 1999 .

[27]  Peter Jarvis,et al.  Adult learning in the social context , 1987 .