Investigation the Influence of Risk Factors on the Occurrence of Road Accidents Using the Driver Performance Model

Santos, Maria Izabel dos; Oliveira, Paulo Tadeu M. S.; Larocca, Ana Paula Camargo

doi:10.1007/s40890-021-00148-x

Cited by 2 publications

(1 citation statement)

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“…In addition, the driving distraction test is widely used in the feld of distracted driving research as the most direct way to obtain data. Considering the safety of drivers and the management regulations of trafc laws, studies on distracted driving by cell phone operation are usually carried out based on the simulated driving devices, and simulated driving tests are carried out by designing diferent driving environment scenarios to restore the real driving experience [4,[29][30][31]. Currently, the design of distracted driving scenarios for cell phone operation focuses on basic test scenarios such as highways, rural roads, and urban roads, which usually control single trafc conditions for test studies [32].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Distracted Driving Behavior Based on Visual Stability Coefficient

Wang

Ding

Wang

2023

Journal of Advanced Transportation

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Cell phone call operations during driving can lead to distraction and cause potential safety hazards. In order to quantitatively characterize the influence of cell phone call mode on the driver’s visual behavior in different traffic conditions and to analyze the risk level of distracted driving from the visual level, a distracted driving simulation test was carried out based on a driving simulator and eye tracker. The eye movement data of drivers during normal driving, hands-free call, and video call under two typical traffic conditions of free flow and congested flow on the urban expressway were collected. Firstly, four visual characteristics indicators that were highly sensitive to traffic conditions and driving states were selected in terms of visual field range, visual recognition, visual search, and visual load, which were the information entropy of fixation area (IEFA), saccade amplitude, peak-to-average ratio of saccade velocity (PARSV), and relative change intensity of pupil area (RCPA). Then, based on the improved CRITIC method, the visual stability coefficient (VSC) was constructed as a new indicator to comprehensively assess the risk level of the driving state, and the assessment criteria were divided. Finally, the grey correlation analysis method was introduced to verify the assessment effect of VSC. The results show that different cell phone call modes increased driving risk in both traffic conditions. Among them, the negative influence of video calls on driving safety was significantly higher than that of hands-free calls, with a significant decrease in VSC, and the drivers’ VSC in the free flow scenario was more sensitive to the impact of cell phone call operation, and the driving risk increased significantly during distracted driving. The VSC can quantitatively assess driving risk from the perspective of visual psychological safety and contributes to the development of corresponding early warning and control measures.

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Section: Introductionmentioning

confidence: 99%