Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS

Zhong, Shiquan; Zhou, Lizhen; Ma, Shoufeng; Jia, Ning

doi:10.1016/j.tra.2012.05.022

Cited by 50 publications

(50 citation statements)

References 29 publications

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“…However, several studies indicate that male drivers are more prone to route diversion [25,29,34,36,41]. Other studies indicate that driver gender is not an influencing parameter on driver diversion [28,45,46]. Driver income, which determines the value of time, has been found to affect driver's choice; however, a specific pattern has not been evolved.…”

Section: Driver Characteristicsmentioning

confidence: 99%

Determinants of driver response to variable message sign information in Athens

Spyropoulou

Antoniou

2015

IET Intelligent Transport Systems

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Variable message signs -which comprise a type of advanced traveller information systems -can affect driver behaviour, especially considering route choice. Hence, their operation is integrated in traffic management strategies for the mitigation of traffic congestion. This research explores the factors determining driver response to variable message signs (VMSs) in the city of Athens. A stated preference questionnaire survey is undertaken and discrete choice analysis is performed towards this aim. More specifically, a random-effect ordered probit model is estimated that provides insight on the contributory factors that influence driver propensity to divert, when provided with information on incident occurrence via VMSs. Message characteristics, that is, incident type, impact and suggestion for an alternative route, trip characteristics, such as vehicle type, as well as, driver characteristics, such as driver age and income, have been found to affect driver behaviour. Furthermore, appropriate models are also estimated for subsets of the driving population (considering gender and age) and specific similarities and differences between the population behaviours are identified.

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Section: Driver Characteristicsmentioning

confidence: 99%

Determinants of driver response to variable message sign information in Athens

Spyropoulou

Antoniou

2015

IET Intelligent Transport Systems

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“…2). Identified existing principles of roads' beautification elements placing: morphological structuring, composition principle, economic, genetic, landscape and environmental perception, visual perception (Sardarov, 2001;Jou et al, 2013;Li H. et al, 2011;Li Z. et al, 2011;Zhong et al, 2012).…”

Section: The Conceptual Approach To Modeling the Spatial Corridormentioning

confidence: 99%

Principles of the Road Beautification Elements Placing

Lytvynenko

Tkachenko

Gasenko

2017

Period. Polytech. Transp. Eng.

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“…Thus, an agent model based on SOAR is developed to study drivers' guidance compliance behaviors under two information release modes, which are based on real-time statistic and traffic flow forecasting, respectively. [57] is a graphic VMS [20]. It is near the east gate of Renmin University of China, and about 300 meters from SITONG Bridge along southbound direction.…”

Section: Soar Cognitive Architecturementioning

confidence: 99%