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

Abstract

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. Hindawi Publishing Corporation

The effect of pavement markings on driving behaviour in curves: a simulator study

“…The safety benefits of activating lane control due to changing driving conditions ahead have also been discussed (ERSO, 2018). Moreover, Yan & Wu (2014) reported a VMS influence on the drivers' speed control behavior at 70 m before the VMS location on a four-lane road with a speed limit of 80 km/h. However, studies also point out that the early merge approach should be carefully considered due to possible adverse effects on the expressway capacity (Pesti et al, 2007;Soriguera et al, 2017).…”

Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport

“…These results indicated a very good degree of accuracy sufficient for modelling complex behaviour at the individual level. More details about the development and evaluation of the models can be found in [1]. In the remainder of this paper, the focus will be on the application of these models through a simulation-based assessment of the impacts of Intelligent Transport Systems (ITS)…”

“…The models can be incorporated in traffic simulation tools to help improve their accuracy in evaluating smart mobility and sustainable transport initiatives which aim to influence driver behaviour through the use of traffic information and advice [1,2,3].…”

Influence of work zone signage on driver speeding behavior

“…Numerous studies have been conducted to evaluate driver behavior under various circumstances using a driving simulator [24][25][26][27][28][29][30][31]. Some studies investigated the impact of work zone barriers (cone pylons, concrete jersey barriers and metal barriers) on driver behavior [24], while some analyze drivers' behavior under different climatic conditions like foggy conditions and reduced visibility [25,29,30].…”

“…Some studies investigated the impact of work zone barriers (cone pylons, concrete jersey barriers and metal barriers) on driver behavior [24], while some analyze drivers' behavior under different climatic conditions like foggy conditions and reduced visibility [25,29,30]. Most of the simulator studies investigated the impact of different kind of message signs on driver's route choice and compliance behavior, diversion of traffic, speed patterns, sign effectiveness and safety of traffic [20,[26][27][28][29]31]. This study focuses on work zone safety and evaluates the influence of three different work zone signs-speed photo enforced signs, DSDS and reduced speed limit signs-on driver speeding behavior using a medium-fidelity driving simulator.…”