The role of edge lines in curve driving

Intercepting a moving traffic gap while avoiding collision with lead and trail vehicles: Gap-related and boundary-related influences on drivers’ speed regulations during approach to an intersection

“…Finally, while LV had a stronger influence on drivers' behavior than TV, the latter nevertheless exerted a systematic influence on approach speed regulations (as revealed by the recurrent TV main effects and interactions for all variables analyzed). Overall, the differential contributions of lead and trail vehicles to intersection crossing behavior much resembles the differential contributions of inner and outer edge lines in curve driving (Coutton-Jean, Mestre, Goulon, & Bootsma, 2009). In both cases, one constituent exerts a (much) stronger influence than the other, but both nevertheless play a role.…”

Analysis of Human-Machine Cooperation When Driving with Different Degrees of Haptic Shared Control

“…Finally, it appears that the fog slightly decreased the steering effort with SC11, SC21 and SC31; however, post-hoc analyses showed that these differences did not reach statistical significance. Without shared control, the participants showed a slight tendency to cut the corner when negotiating bends, which is a commonly observed behavior [36], [37], [38]. The ANOVA revealed a significant effect of the degree of shared control on the MLP ðFð5; 70Þ ¼ 30:93; p < 0:001Þ, a significant effect of visibility ðFð1; 14Þ ¼ 6:51; p < 0:05Þ, and no significant interaction between the two variables ðFð5; 70Þ ¼ 0:91, ns).…”

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

“…These factors can be divided into four main types: road characteristic, environmental conditions, vehicle-related factors and driver-related factors. 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).…”

“…Especially for some provinces such as Fujian, Yunnan and Sichuan, etc., it is common for complex-alignment roads (continuous sharp curves for example) built in the mountain areas. However, most of the previous simulation-based curve-driving studies were conducted on right-or left-turn curves (Coutton-Jean et al, 2009;Comte and Jamson, 2000;Charlton, 2004), but paid little attention to drivers' maneuvering process on complex curves such as continuous S-curves. Thus, this study evaluated the effects of foggy weather, driver experience and gender on drivers' maneuvering process while approaching and navigating an S-curve, including their average speed, deceleration distance, maximum deceleration before the curve, longitudinal and lateral vehicle control stability, etc.…”

“…Coutton-Jean et al (2009) argued that driving through curves requires a fast and reliable analysis of the spatial-temporal parameters necessary to keep the vehicle on the road. Similarly, Charlton (2007) indicated that the curve driving task is complex as drivers need to allocate more attentional resources to collecting information and more mental resources to making decisions, and thus have less time for manual control.…”