Safety reliability evaluation when vehicles turn right from urban major roads onto minor ones based on driver's visual perception.
Turning right has a significant impact on urban road traffic safety. Driving into the curve inappropriately or with improper turning speed often leads to a series of potential accidents and hidden dangers. For a long time, the design speed at intersections has been used to determine the physical radius of curbs and channelization, and drivers are expected to drive in accordance with the design speed. However, a large number of real vehicle tests show that for the road without an exclusive right-turn lane, there is not a good correlation between the physical radius of curbs and the turning right speeds. In this paper, shape parameters of the driver's visual lane model are put forward and they have relatively high correlations with right-turn speeds. Hence, an evaluation method about safety reliability of turning right from urban major roads onto minor ones based on driver's visual perception is proposed. For existing roads, the evaluation object could be real driving videos; for those under construction roads, the evaluation object could be visual scenes obtained from a driving simulation device. Findings in this research will make a contribution to the optimization of right-turn design at intersections and lead to the development of auxiliary driving technology.
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Traffic Engineering School of Tongji University, 4800 Cao an Highway, Shanghai 201804, China. Electronic address: clowyubo@126.com.
Bo
B
Yu
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Traffic Engineering School of Tongji University, 4800 Cao an Highway, Shanghai 201804, China. Electronic address: chenyr@tongji.edu.cn.
Yuren
Y
Chen
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Traffic Engineering School of Tongji University, 4800 Cao an Highway, Shanghai 201804, China. Electronic address: wangruiyunwang@163.com.
Ruiyun
R
Wang
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Traffic Engineering School of Tongji University, 4800 Cao an Highway, Shanghai 201804, China. Electronic address: 314661996@qq.com.
Yongjie
Y
Dong
D000063:Accidents, Traffic; D001334:Automobile Driving; D002947:Cities; D004779:Environment Design; D006801:Humans; D008954:Models, Biological; D015203:Reproducibility of Results; D018570:Risk Assessment; D012449:Safety; D014505:Urban Population; D014796:Visual Perception
Driver's visual lane model; Driver's visual perception; Reliability; Turning right