Literature DB >> 26337670

Safety reliability evaluation when vehicles turn right from urban major roads onto minor ones based on driver's visual perception.

Bo Yu1, Yuren Chen2, Ruiyun Wang3, Yongjie Dong4.   

Abstract

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Driver's visual lane model; Driver's visual perception; Reliability; Turning right

Mesh:

Year:  2015        PMID: 26337670     DOI: 10.1016/j.aap.2015.08.014

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve.

Authors:  Yi Li; Yuren Chen
Journal:  Int J Environ Res Public Health       Date:  2016-12-30       Impact factor: 3.390

2.  Drivers' Visual Perception Quantification Using 3D Mobile Sensor Data for Road Safety.

Authors:  Kanghee Choi; Giyoung Byun; Ayoung Kim; Youngchul Kim
Journal:  Sensors (Basel)       Date:  2020-05-12       Impact factor: 3.576

3.  Analysis of Traffic Signs Information Volume Affecting Driver's Visual Characteristics and Driving Safety.

Authors:  Lei Han; Zhigang Du; Shoushuo Wang; Ying Chen
Journal:  Int J Environ Res Public Health       Date:  2022-08-19       Impact factor: 4.614

  3 in total

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