Research On The Influence Of Fatigue Driving Behavior On The Width Of Clear Zone Setting On Highway Sideways

With the rapid development of the highway industry,the demand and ownership of automobiles have sharply increased,and road traffic safety has become an important issue faced by current society.According to statistics,fatigue driving is one of the main reasons for the high death rate of 40% in highway accidents in China.While people enjoy the benefits brought by the rapid development of transportation technology,they also face the impact of traffic accidents,especially roadside accidents,which have been increasing year by year in terms of probability and severity.At present,China has optimized roadside safety facilities and set up roadside clear zones.When the vehicle exits the road,provide sufficient safety clearance for the driver to return to the road surface.Even if the vehicle cannot return to the road surface,Research into the width of roadside clear zones on highways in China is of great theoretical and practical importance for enhancing the safety of highways,decreasing the frequency of traffic accidents,and diminishing property losses due to such accidents.To ensure the driver life safety and property damage,it is essential to strive to minimize the intensity of traffic accidents caused by operational behavior to the greatest extent possible.The first chapter provides a brief introduction to the research status of fatigue driving and roadside clear zone width both domestically and internationally,In Chapter 2 the significance and intent of this research are explored,with an examination of the significance of fatigue driving.the influencing factors of fatigue driving the influencing factors of fatigue driving,and the influencing factors of roadside clear zone width setting.Then,a simulation driving system is built to simulate the driver’s continuous driving for a long time,and subjective evaluation of fatigue level,reaction time,and eye movement data from normal to fatigue state are obtained.The impact indicators of fatigue driving on roadside clear zone width setting are selected.Chapter 3 collects and processes data on various indicators of drivers,selecting gaze duration,blink duration,coefficient of variation of pupil diameter,and reaction time as indicators of the impact of fatigue driving behavior on the width of roadside clear zones.The significance analysis is conducted on the changes in response time and eye movement parameters of drivers.Establish a fatigue driving reaction time model based on multiple linear regression equations and evaluate the model.Chapter 4 proposes a calculation model for the width of the clear zone on the roadside based on classical physics fatigue driving behavior,taking into account factors such as the roadside environment(right shoulder width and slope),driver operating behavior and physiological indicators,vehicle exit angle and speed,and calculates its theoretical value.Chapter 5 conducted simulation verification using PC Crash software.Chapter 6 provides an in-depth summary of this article and prospects for the future.The research conclusion is as follows:(1)Reaction time,gaze duration,blink duration,and coefficient of variation of pupil diameter are important indicators for reflecting fatigue driving behavior,and their effectiveness and reliability are relatively high.Under the fatigue state of the driver,the reaction time,fixation duration,fixation duration,and coefficient of variation of pupil diameter show an increasing trend.According to the experiment,under the fatigue state,the driver’s reaction time is about 1.5-2.1 seconds.(2)A fatigue driving reaction time model based on multiple linear regression is established by combining four parameters: reaction time,fixation duration,blink duration,and pupil diameter variation coefficient under fatigue state.A positive correlation between reaction time and fixation duration,blink duration,and pupil diameter coefficient of variation is evidenced by the model suitability for the sample size.(3)By theoretical derivation,the stress state of vehicles on the slope is studied to ensure stable driving of vehicles on the slope and to avoid sideslip and rollover.The safety slope rate parameters are set.Construct a function to determine the maximum safe slope for vehicles driving on the slope,and combine with relevant regulations to determine a slope of 1:4 in this article.(4)The width model of roadside net area based on fatigue driving behavior is established,and its theoretical value is calculated.Combined with PC-Crash software simulation,the simulation is consistent with the theoretical calculation.