华南理工大学学报（自然科学版）2025，Vol.53Issue(10)：29-39,11.DOI:10.12141/j.issn.1000-565X.240411
重型货车驾驶员高速公路连续驾驶的疲劳特征分析
Analysis of Highway Driving Fatigue Patterns in Heavy Truck Drivers
摘要
Abstract
Long-distance heavy truck drivers are prone to fatigue when driving on highways,threatening road safety.To systematically investigate the fatigue characteristics and their progression of heavy truck drivers during prolonged highway driving,an on-road driving experiment was conducted for truck drivers operating continu-ously on highways.Cameras were mounted to continuously monitor the driver's seat,with driving behaviors corre-lated to fatigue levels-such as the frequencies of rearview mirror-checking and non-driving-related movements-quantified through video analysis.An eye tracking device was utilized to acquire and process ocular metrics-including blink duration and pupil diameter-during driving sessions.Subsequent analysis employed function fitting,driving behavior characterization,and multilayer perceptron(MLP)modeling to examine the progression patterns of fatigue characteristics during prolonged highway driving,the correlation between fatigue manifestations and driving behaviors,and safety-critical time thresholds for continuous driving duration of truck drivers.The results indicate that the safe threshold for continuous driving time for truck drivers is between 3.6 and 3.7 hours.Regarding passive fatigue generated during driving tasks,detection of fatigue onset via mean blink duration occurred 5～15 minutes prior to drivers'active fatigue countermeasures in 48.69%of observed instances.A notable reduction in passive fatigue frequency was observed during the 1.5～2.0 h interval of continuous driving.Statistical analysis revealed sig-nificant correlations between both rearview mirror-checking frequency and non-driving-related movements(NDRMs)with mean blink duration.An MLP model constructed using the frequencies of rearview mirror-checking,NDRM occurrences,and communication behaviors as predictors without ocular metrics achieved an 80.2%detec-tion rate for passive fatigue during driving.These research outcomes provide theoretical foundations and practi-cal references for developing video-based fatigue monitoring systems,implementing fatigue alerts,and enhanc-ing driving safety for heavy trucks.关键词
交通安全/驾驶疲劳/多层感知器/连续驾驶/重型货车/驾驶任务相关疲劳Key words
traffic safety/driving fatigue/multilayer perceptron/continuous driving/heavy trucks/driving task-related fatigue分类
交通工程引用本文复制引用
李琛,陈丰,丁文龙,潘晓东..重型货车驾驶员高速公路连续驾驶的疲劳特征分析[J].华南理工大学学报（自然科学版）,2025,53(10):29-39,11.基金项目
国家自然科学基金项目(51978522) Supported by the National Natural Science Foundation of China(51978522) （51978522）
