Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour

1996 ◽  
Vol 30 (2) ◽  
pp. 135-153 ◽  
Author(s):  
Richard H.M. Emmerink ◽  
Peter Nijkamp ◽  
Piet Rietveld ◽  
Jos N. Van Ommeren
Keyword(s):  
Empirical Analysis ◽  
Route Choice ◽  
Traffic Information ◽  
Choice Behaviour ◽  
Variable Message Signs ◽  
Message Signs

Link Flow Evaluation Using Loop Detector Data: Traveler Response to Variable-Message Signs

1996 ◽  
Vol 1550 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Youngbin Yim ◽  
Jean-Luc Ygnace
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Preliminary Investigation ◽  
Traffic Information ◽  
Mean Flow ◽  
Variable Message Signs ◽  
Real Time Traffic ◽  
Operational Test ◽  
Paris Region ◽  
Message Signs

Système d'Information Routière Intelligible aux Usagers (SIRIUS) is the largest urban field operational test of the advanced traveler information and automated traffic management system in Europe. With variable-message signs, SIRIUS has been in operation in the Paris region for 3 years. A preliminary investigation of the effectiveness of the SIRIUS system in traffic management is presented. The extent to which drivers respond to real-time traffic information and the consequential changes in link flow under SIRIUS is also presented. Time-series traffic data were analyzed to measure changes in mean flow rates at a selected link. It was found that variable-message signs influence drivers to choose less congested routes when drivers are provided with real-time traffic information, and that a driver's decision to divert is closely associated with the information pertaining to the level of congestion. In the Paris region, drivers received information on the length of the queue at the time of this study. As congestion becomes heavier, drivers are more likely to respond to variable-message signs. According to the data analysis, a queue length of 3 km seems to be a threshold at which a significant number of drivers choose to use an alternative route.

Analysis of the Influence of Traffic Information Messages on Route Selection

1995 ◽  
Vol 39 (17) ◽  
pp. 1082-1086
Author(s):  
W. Bradley Fain
Keyword(s):  
Situation Awareness ◽  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Traffic Information ◽  
Route Selection ◽  
Variable Message Signs ◽  
Message Format ◽  
Message Signs

Intelligent Transportation Systems (ITS) can reduce traffic congestion by displaying congestion-related delay information on roadside variable message signs or in-vehicle displays. Message format and content may have a significant impact on the percentage of drivers who decide to make a route diversion. In this study, the effect of various traffic information message types on driver routing decisions was evaluated. Results suggest that messages including both an advisory and a descriptive component promote situation awareness and rapid decision making, both of which are critical for this application.

Motorist Attitudes about Content of Variable-Message Signs

1996 ◽  
Vol 1550 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Brien G. Benson
Keyword(s):  
Focus Groups ◽  
Delay Time ◽  
Demographic Variables ◽  
Traffic Information ◽  
Variable Message Signs ◽  
Level Of Education ◽  
Time Estimates ◽  
Message Signs ◽  
Alternative Routes ◽  
Levels Of Support

Attitudes regarding the content of messages on variable-message signs (VMSs) are explored. Seven focus groups and a survey of more than 500 motorists in the Washington, D.C., area were carried out. Key findings are as follows. Motorists are evenly divided between those who regularly rely on VMSs and those who do not. Demographic variables have little influence on motorist attitudes about VMSs, except for a few cases involving level of education. Respondents are well disposed to VMS messages that are simple, reliable, and useful. Thus, noting the exact location of accidents, time-tagging traffic information, and posting anti-rubbernecking messages received high levels of support. Proposals failing in any of these regards were met with less interest, including delay time estimates, safety messages, and posting of alternative routes.

Effect Evaluation and Modeling of Variable Message Signs on Route Choice Behavior

2014 ◽  
Vol 587-589 ◽  
pp. 2003-2006
Author(s):  
Xi Jun Ou Yang ◽  
Xi Zhang ◽  
Hang Wang
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Peak Period ◽  
Variable Message Signs ◽  
Personal Property ◽  
Route Choice Behavior ◽  
Accident Conditions ◽  
Message Signs

Based on SP survey, this study researched on the driver's personal property, travel attribute and VMS (Variable Message Signs) attribute. On this basis, combining with the traffic survey data, the multinomial Logit models were used to reflect the route choice behavior. The data were analyzed by Matlab software, then to compare the effect of VMS under different traffic conditions, and proved the rationality of the model. The results of SP survey show that the main factors that affect drivers' route choice are familiarity of road network, accuracy of VMS and attention to VMS. The calculations of Multinomial Logit model demonstrate that the effect of VMS is more obvious during peak period, and it’s more effective under traffic accident conditions. Combining qualitative and quantitative analysis, it provides suggestions for the widely application of the VMS in Changsha city.

scholarly journals MODELLING TRAVELLERS’ ROUTE SWITCHING BEHAVIOUR IN RESPONSE TO VARIABLE MESSAGE SIGNS USING THE TECHNOLOGY ACCEPTANCE MODEL

Transport ◽  
2020 ◽  
Vol 35 (5) ◽  
pp. 533-547
Author(s):  
El Bachir Diop ◽  
Shengchuan Zhao ◽  
Shuo Song ◽  
Tran Van Duy
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Perceived Usefulness ◽  
Traffic Information ◽  
Causal Relationships ◽  
Variable Message Signs ◽  
Acceptance Model ◽  
Message Signs ◽  
Positive Effect

Recent studies adopted models of user acceptance of information technology to predict and explain drivers’ acceptance of traffic information. Among these frameworks, the most commonly used is the Technology Acceptance Model (TAM). However, TAM is too general and does not consider drivers’ response in specific traffic conditions or choice scenarios. This study combines an extended TAM with different choice scenarios displayed by Variable Message Signs (VMS) into a Hybrid Choice Model (HCM). Two models are proposed. The first model takes into account the causal relationships among latent variables based on the following hypotheses: Information Quality (IQ) has a positive effect on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) which, in turn, have a positive effect on the Behavioural Intention (BI) to use traffic information. In the second model, the four latent variables PU, PEOU, IQ, and BI are directly added to the utility function without any causal relationships. 339 drivers with valid licence were interviewed via Stated Preference (SP) survey and the results show that TAM can explain travellers’ response to VMS if the causal relationships among latent variables are taken into account. In addition, all hypothesized relationships are strongly supported. Practical and academic implications are also discussed.

scholarly journals Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Xuedong Yan ◽  
Jiawei Wu
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Simulation Experiment ◽  
Driving Simulator ◽  
Driving Behavior ◽  
Driving Simulation ◽  
Traffic Information ◽  
Variable Message Signs ◽  
Information Format ◽  
Message Signs

Variable message signs (VMSs), as one of the important ITS devices, provide real-time traffic information of road network to drivers in order to improve route choice and relieve the traffic congestion. In this study, the effectiveness of VMS on driving behavior was tested based on a driving simulation experiment. A road network with three levels of VMS location to route-diverging intersection and three types of VMS information format was designed in a high fidelity driving simulator platform. Fifty-two subjects who were classified by driver age, gender, and vocation successfully completed this experiment. The experimental results showed that driver characteristics, VMS location, and information format profoundly influence driving behaviors. Based on the research findings, it is suggested that VMS would be positioned between 150 m and 200 m upstream of the diverging point to balance the VMS effects on traffic safety and operation and the graphic information VMS format is better than the format with text massage only.

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