Analyzing drivers’ preferences and choices for the content and format of variable message signs (VMS)

Abstract Background Recent advance in variable message signs (VMS) technology has made it viable to provide spatio-temporal information on traffic and network conditions to drivers. There is a debate whether VMS diverts drivers’ attention away from the road and may cause unnecessary distraction in their driving tasks due to inconsistent VMS contents and formats. There are also other external factors such as weather conditions, visibility and time of day that may affect the integrity and reliability of the VMS. In China, only about 23% drivers were persuaded by VMS to follow route diversion. Objective In order to capture the full benefits of VMS, the aim of this paper is therefore to identify the factors affecting VMS by examining what kinds of VMS contents, formats and their interactions are more preferable to drivers, specifically in China. Methods A revealed preference (RP) questionnaire and stated preference (SP) survey consisting of 1154 samples from private and taxi drivers was conducted and analyzed using discrete choice model. Results The results revealed that the information showed by amber-on-black on text format, white-on-blue on graph format or the suggested route diversion information showed by single line are preferred by drivers in fog weather. In addition, highly educated drivers or drivers with no occupation are more prone to the qualitative delay time on a text-graph format in fog weather. In normal weather, drivers with working trip purpose are mostly preferred to receive the information on a congested traffic condition with a reason on a text-only format. However, the congested traffic condition along with the information on the apparent causes shown by red-on-black or green-on-black on a text-only format was least preferred by drivers. Regarding current and adjacent road traffic information, drivers prefer to receive the suggested route diversion on a graph-only format in fog weather and the qualitative delay time on a text-graph format in normal weather. Irrespective to weather conditions, male drivers incline to the qualitative delay time on a text-graph format. Conclusions The findings of this study could assist traffic authorities to design the most acceptable VMS for displaying traffic information for the purpose of improving road traffic efficiency and provide the theory evidence for the design of in-vehicle personalized information service system.

[1]  J Roca,et al.  Accident ahead? Difficulties of drivers with and without reading impairment recognising words and pictograms in variable message signs. , 2018, Applied ergonomics.

[2]  Gary E. Burnett,et al.  Journey decision making: the influence on drivers of dynamic information presented on variable message signs , 2016, Cognition, Technology & Work.

[3]  Asad J. Khattak,et al.  Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs , 2012 .

[4]  David A. Hensher,et al.  A latent class model for discrete choice analysis: contrasts with mixed logit , 2003 .

[5]  Linda Ng Boyle,et al.  Impact of traveler advisory systems on driving speed: some new evidence , 2004 .

[6]  Haris N. Koutsopoulos,et al.  Evaluation of diversion strategies using dynamic traffic assignment , 2011 .

[7]  P.W. Bonsall,et al.  Driver compliance with route guidance advice: The evidence and its implications , 1991, Vehicle Navigation and Information Systems Conference, 1991.

[8]  Chien-Jung Lai,et al.  Effects of color scheme and message lines of variable message signs on driver performance. , 2010, Accident; analysis and prevention.

[9]  Youngbin Yim,et al.  LINK FLOW EVALUATION USING LOOP DETECTOR DATA: TRAVELER RESPONSE TO VARIABLE-MESSAGE SIGNS , 1996 .

[10]  Joel L. Horowitz,et al.  THE ACCURACY OF THE MULTINOMIAL LOGIT MODEL AS AN APPROXIMATION TO THE MULTINOMIAL PROBIT MODEL OF TRAVEL DEMAND , 1980 .

[11]  Shiquan Zhong,et al.  Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS , 2012 .

[12]  Jorge Ramos,et al.  Driver response to variable message signs-based traffic information , 2006 .

[13]  Jyh-Hone Wang,et al.  Adding Graphics to Dynamic Message Sign Messages , 2007 .

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

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

[16]  Mohamed Abdel-Aty,et al.  Analysis of drivers' behavior under reduced visibility conditions using a Structural Equation Modeling approach , 2011 .

[17]  Kasem Choocharukul,et al.  Short-Run Route Diversion: An Empirical Investigation into Variable Message Sign Design and Policy Experiments , 2013, IEEE Transactions on Intelligent Transportation Systems.

[18]  H. Summala,et al.  Effects of weather and weather forecasts on driver behaviour , 2007 .

[19]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[20]  Markos Papageorgiou,et al.  Automatic control of variable message signs in Aalborg , 1996 .

[21]  Chien-Jung Lai,et al.  Drivers' comprehension of traffic information on graphical route information panels. , 2012, Accident; analysis and prevention.

[22]  Hani S. Mahmassani,et al.  COMPARATIVE ASSESSMENT OF ORIGIN-BASED AND EN ROUTE REAL-TIME INFORMATION UNDER ALTERNATIVE USER BEHAVIOR RULES , 1991 .

[23]  P. Waddell,et al.  Factors affecting the adoption of vehicle sharing systems by young drivers , 2013 .

[24]  Eran Ben-Elia,et al.  The combined effect of information and experience on drivers’ route-choice behavior , 2008 .

[25]  Khandker Nurul Habib,et al.  Modeling Travelers' Responses to Incident Information Provided by Variable Message Signs in Calgary, Canada , 2010 .

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

[27]  Dipti Srinivasan,et al.  Urban traffic signal control using reinforcement learning agents , 2010 .

[28]  R. Scarpa,et al.  Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences , 2005, Land Economics.

[29]  M. J. Bianco,et al.  Effective Transportation Demand Management: Combining Parking Pricing, Transit Incentives, and Transportation Management in a Commercial District of Portland, Oregon , 2000 .

[30]  Hashim M. N. Al-Madani,et al.  Assessment of drivers' comprehension of traffic signs based on their traffic, personal and social characteristics , 2002 .

[31]  Jyh-Hone Wang,et al.  Effect of Dynamic Message Sign Messages on Traffic Slowdowns , 2009 .

[32]  A. C. Richards,et al.  Investigation of driver comprehension of traffic information on graphical congestion display panels using a driving simulator , 2004 .

[33]  Jin-hui Wang,et al.  Assessing Message Display Formats of Portable Variable Message Signs , 2005 .

[34]  Hongcheng Gan,et al.  Urban freeway user' diversion response to variable message sign displaying the travel time of both freeway and local street , 2012 .

[35]  Constantinos Antoniou,et al.  Determinants of driver response to variable message sign information in Athens , 2015 .

[36]  Victor J. Blue,et al.  Toward the design of intelligent traveler information systems , 1998 .

[37]  Junyi Shen Latent class model or mixed logit model? A comparison by transport mode choice data , 2009 .

[38]  Chien-Jung Lai AN ERGONOMIC STUDY OF CHINESE FONT AND COLOR DISPLAY ON VARIABLE MESSAGE SIGNS , 2008 .

[39]  Patricia Delhomme,et al.  Comprehension and acceptability of on-board traffic information: Beliefs and driving behaviour. , 2014, Accident; analysis and prevention.

[40]  K. Train Discrete Choice Methods with Simulation , 2003 .

[41]  Hashim Al-Madani,et al.  Role of drivers' personal characteristics in understanding traffic sign symbols. , 2002, Accident; analysis and prevention.

[42]  Enrico Ronchi,et al.  Variable Message Signs for road tunnel emergency evacuations. , 2016, Applied ergonomics.

[43]  David Shinar,et al.  Comprehension of traffic signs with symbolic versus text displays , 2013 .

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

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

[46]  Gerald L Ullman,et al.  Flashing Messages, Flashing Lines, and Alternating One Line on Changeable Message Signs , 2002 .