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Wang X.,Tongji University | Wang X.,Road and Traffic Key Laboratory | Xu C.,Southwest Jiaotong University | Xu C.,National United Engineering Laboratory of Integrated and Intelligent Transportation
Accident Analysis and Prevention | Year: 2015

Objectives: Drowsy driving is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some drowsiness-related crashes could be prevented. The presentation of timely warnings, however, depends on reliable detection. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. The present study sought to develop a drowsiness detection model that accommodates the varying individual effects of drowsiness on driving performance. Methods: Nineteen driving behavior variables and four eye feature variables were measured as participants drove a fixed road course in a high fidelity motion-based driving simulator after having worked an 8-h night shift. During the test, participants were asked to report their drowsiness level using the Karolinska Sleepiness Scale at the midpoint of each of the six rounds through the road course. A multilevel ordered logit (MOL) model, an ordered logit model, and an artificial neural network model were used to determine drowsiness. Results: The MOL had the highest drowsiness detection accuracy, which shows that consideration of individual differences improves the models' ability to detect drowsiness. According to the results, percentage of eyelid closure, average pupil diameter, standard deviation of lateral position and steering wheel reversals was the most important of the 23 variables. Conclusion: The consideration of individual differences on a drowsiness detection model would increase the accuracy of the model's detection accuracy. © 2015 Elsevier Ltd.


Zhang K.,National United Engineering Laboratory of Integrated and Intelligent Transportation | Shi P.,Southwest Jiaotong University
ICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering | Year: 2015

In order to solve the driving safety problem caused by the complicated terrain conditions and the changeable climate for mountainous freeway, it is necessary to construct assess index system to improve transportation security for mountainous freeway. The method used in this paper is: by taking the advantage of diagnosing and inferring the uncertainty of the knowledge of Bayesian network, we put forward a transportation security assessment model for mountainous freeway based on Netica. We use the model to evaluate a practical mountainous freeway and the result shows: The probability of the freeway section to keep in a safe state is 71.5%, and the safety grade of the road section of mountains freeway is 2. © ASCE.


Zhang K.,National United Engineering Laboratory of Integrated and Intelligent Transportation | Wang R.,Southwest Jiaotong University
ICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering | Year: 2015

In order to study the unique accident characteristics of mountain roads to guarantee safety. Through careful investigation and information search on mountain roads and on the basis of a large number of data and cases of actual accidents, this paper summarized the main features of accidents in mountainous areas. According to the core idea of intrinsic safety, more attention should be paid to the design stage of road construction in mountain areas. Using both qualitative and quantitative methods, this paper sums up the main factors that influence the safety of mountain roads, they are road geometry, road condition and unique road environment in mountain areas. On the basis of the three factors, this paper proposes the principles and methods of dangerous section of governance. Through various analysis and comparison, this paper provides a more reasonable method of identifying black spots. The research results show that: The main reason of road accidents is a continuous curve and stadia, the tunnel without lighting equipment and water seepage inside the tunnel after earthquake are the factors that lead to accident, and the existence of the hidden dangers of accidents are mainly caused by the loosening mountain rocks and the lack of Kanawha rail. © ASCE.


Zhang R.,Southwest Jiaotong University | Zhang R.,National United Engineering Laboratory of Integrated and Intelligent Transportation
ICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering | Year: 2015

Today, strategic alliance of global logistics is considered as a new device to raise business profit and manage contemporary logistics resource effectively. This paper will give an idea of global logistics strategic alliance in general and point out its roles in contemporary logistics and supply chain. © ASCE.


Zhang K.,National United Engineering Laboratory of Integrated and Intelligent Transportation | Qiu Q.,Southwest Jiaotong University
ICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering | Year: 2015

As to improve road traffic safety and traffic efficiency, this paper focused on the study of highway traffic safety facilities. By investigating the currently basic application of highway traffic safety facilities, combining with the traffic accidents statistics and the setting regulation of highway traffic safety facilities, the problems of each kind of safety facilities were described in detail. Result shows that the main problems existing is caused by the lack of traffic safety facilities and unreasonable traffic safety facilities' setting. Finally, this paper analyses the causes of the problems from the planning, design, construction and maintenance management of highway safety facilities and puts forward the improvement measures. © ASCE.

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