Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement

Bella, Francesco

doi:10.1016/j.aap.2012.04.015

Cited by 125 publications

(64 citation statements)

References 28 publications

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“…The studies related to road characteristics include the curve radius/ curvature (Coutton-Jean et al, 2009;Bella et al, 2014;Boer, 1996), edge lines (Coutton-Jean et al, 2009), lane width (Robertshaw and Wilkie, 2008;Coutton-Jean et al, 2009), curve length (Zuriaga et al, 2010;Hu and Donnell, 2010) and pavement condition (Buddhavarapu et al, 2013;Zador et al, 1987). The research related to environmental conditions in curve segments includes weather conditions (Jung et al, 2014;Yan et al, 2014), nighttime (Bella et al, 2014;Hu and Donnell, 2010), roadside clearance (Aram, 2010;Bella, 2013), sight distance (Kondo and Ajimine, 1968), traffic volume (Aram, 2010;AASHTO, 2010) and markings and speed signs (Rutley, 1972;Comte and Jamson, 2000). The vehicle-related factors can significantly influence the relevant driving behaviors and running out of curve crashes, such as vehicle type (Liu and Subramanian, 2009;Fitzsimmons et al, 2013) and vehicle occupancy (Liu and Ye, 2011).…”

Section: Factors Associated With Curve Safetymentioning

confidence: 98%

Effects of fog, driver experience and gender on driving behavior on S-curved road segments

Yan

Wong

2015

Accident Analysis & Prevention

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Driving on curved roads has been recognized as a significant safety issue for many years. However, driver behavior and the interactions among variables that affect driver performance on curves is complicated and not well understood. Previous studies have investigated various factors that influence driver performance on right- or left-turn curves, but have paid little attention to the effects of foggy weather, driver experience and gender on driver performance on complex curves. A driving simulator experiment was conducted in this study to evaluate the relationships between driving behavior on a continuous S-curve and foggy weather, driver experience and gender. The process of negotiating a curve was divided into three stages consisting of a straight segment, the transition from the straight segment to the S-curve and the S-curve. The experimental results indicated that drivers tended to drive more cautiously in heavy fog, but the driving risk was still increased, especially in the transition stage from the straight segment to the S-curve. The non-professional (NP) drivers were less sensitive to the impending change in the road geometry, and less skilled in both longitudinal and lateral vehicle control than the professional drivers. The NP female drivers in particular were found to be the most vulnerable group in S-curve driving.

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Section: Factors Associated With Curve Safetymentioning

confidence: 98%

Effects of fog, driver experience and gender on driving behavior on S-curved road segments

Yan

Wong

2015

Accident Analysis & Prevention

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“…On the basis of processed scientific works devoted to the visual perception of the environment (Bella, 2013;Blumentrath and Tveit, 2014;Borowsky et al, 2012;Bosurgi et al, 2013) identified the following factors that influence on the perception of road composition by drivers and passengers (Fig. 2).…”

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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“…They found that the lateral deviation of the trajectory at a sharp bend was greater than that at a gentle bend, and that the trajectory was closer to the centerline when guardrails were on the sides of the road. In contrast, Bella [16] showed that the existence of guardrails did not affect the driver's trajectory or speed. Rosey and Auberlet [17] analyzed the lateral location of a vehicle trajectory on a straight slope (including one with a convex vertical curve) with different types of markers and guardrails, and found that various trajectories could be used to identify undesirable highway geometries.…”

Section: Introductionmentioning

confidence: 99%

Vehicle trajectory at curved sections of two-lane mountain roads: a field study under natural driving conditions

Jin¹,

Luo²,

Shao³

2018

Eur. Transp. Res. Rev.

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Purpose The trajectory of a vehicle is comprehensively affected by the interactions between the vehicle, the driving behavior, and the road environment. High-risk driving behaviors and accident-prone road sections can be identified based on the relationship between the trajectory and road geometry. Previous related studies mostly focused on the trajectory deviation at a few points on the road, which cannot capture the continuous variation of the trajectory in an entire curve, and seldom considered the trajectory characteristics along curves with large deflection angles. The aim of this study is to investigate the trajectories passenger cars take on two-lane mountain roads and thus to determine the track patterns and its relevant risks. Methods Field driving experiments were performed on four two-lane mountain highways, and vehicle trajectories under natural driving conditions were acquired. The continuous change in the lateral deviation rate of the trajectory was also determined by putting the measured trajectories into the coordinate frame together with the edge line of roadway. Further, the morphological features of the vehicle trajectory and how it is affected by the highway geometry were analyzed. Results and conclusions The following were observed: i) Typical track patterns were determined according to features of LDRT profiles, four patterns for left-hand bends and five patterns for right-hand bends, which can be used to identify crash prone position and reveal the mechanism of crash. ii) Inertia may cause the vehicle to move too close to the outer side of the curve after a cut, for which reason the driver has to correct the trajectory, although overcorrection may move the vehicle into the oncoming lane. iii) A higher speed at curve entry adopt by the driver could result in a larger encroachment into opposite lane or shoulder. iv) The smaller the radius of the horizontal curve, the more frequently the trajectory entered the oncoming lane. These findings could provide a better understanding of the track behavior of passenger cars, judge the safety implications of driver behavior, and thus identify crash prone positioning and the potential mechanisms of head-on crashes, run-off-road and guardrail collisions.

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Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement

Cited by 125 publications

References 28 publications

Effects of fog, driver experience and gender on driving behavior on S-curved road segments

Effects of fog, driver experience and gender on driving behavior on S-curved road segments

Principles of the Road Beautification Elements Placing

Vehicle trajectory at curved sections of two-lane mountain roads: a field study under natural driving conditions

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