Open AccessResearch on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics
Author(s) -
Yunwei Meng,
Wen Lang,
Liu Tangzhi,
Xu Jin,
Zheng Boren,
Zhang Xiyan,
Qing Guangyan
Publication year - 2023
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12554
Subject(s) - driving simulator , transport engineering , computer science , process (computing) , automotive engineering , environmental science , simulation , engineering , operating system
Abstract When driving on mountain roads, the drivers bear the dynamic load from the road environment. The sudden change of driving load will produce great safety risks and even lead to traffic accidents. In order to explore the driving risk of two‐lane road in mountainous areas, it is necessary to analyze the change of driving load from a quantitative point of view. Using the road driving experiment, 10 male drivers were selected according to the experimental road conditions, collect the driver's visual and heart rate indicators, analyze the driver's physiological indicators, and study the driver's driving load evolution process on the mountain road. Combined with the classification of road environment, a driving load evaluation model based on catastrophe progression method is constructed. The driving load is divided into four states: low load state, affordable state, chaotic state and high load state. It is found that most sections of mountain roads are in a low load and bearable state. In semi closed and closed environment, the driving load is in a chaotic state, which affects the driving safety. The evaluation model can be used to evaluate the traffic safety of road environment.