Driving risk factors identification in long downhillsections of mountainous area(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2019年01期
- Page:
- 116-128
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Driving risk factors identification in long downhillsections of mountainous area
- Author(s):
- HU Liwei1; 2; LI Linyu1; GU Hanyan3; JING Xing3; LI Xuewei4; HU Chengyu2
- (1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500,Yunnan, China; 2. Yunnan Transport Planning and Designing Research Institute, National EngineeringLaboratory for Surface Transport Weather Impacts Prevention, Kunming 650200, Yunnan, China
- Keywords:
- traffic engineering; mountain area; DEMATELISM integrated method; long downhill section; truck; risk factors identification
- PACS:
- -
- DOI:
- -
- Abstract:
- The intrinsic correlation and hierarchical structure among driving risk factors in long downhill sections of mountainous areas were obtained to clarify the importance of each risk factor and determine key risk causes from the viewpoints of traffic safety and system engineering. Using literature extraction and the Delphi method, the risk factors were set up for truck driving in the long and downhill sections of a mountain area. Based on the common characteristics of Decision Making Trial and Evaluation Laboratory(DEMATEL) and Interpretative Structural Modelling (ISM), the advantages of IMS and DEMATEL method were clarified, and the complex risk factors were applied using the DEMATELISM method. The relationship was transformed into an intuitionistic model of truck driving risk identification a good hierarchical structure in the high and lower slopes of the mountain area. The centrality and cause degree of various driving risk factors were calculated for determining the importance of the driving risk factors according to the central degree, and for defining the attributes of the driving risk factors according to the original degree. To find out the key risk factors in the complex causality and the most direct and fundamental risk factors in the truck driving safety system, in order to provide new ideas and new methods for improving the safety of truck driving in the long downhill section of plateau mountain area. The results show that speed limit value, vehicle performance, dynamic response judgment ability and driving fatigue are the most important factors leading to the occurrence of driving risk, while the importance of traffic facilities readiness, age and road structure is the lowest, of which the impact on the safety system of driving risk is the least. Among the irregular factors, like meteorological condition has the greatest degree of effect, which has a greater impact on other risk factors, while the other factors have a smaller impact in itself. The size of truck has a smallest impact on other risk factors. Among the resulting factor, the absolute value of cause degree of overspeed is the greatest, which is the most affected by other risk factors, belonging to the nearneighbor risk layer of the driving risk system, and it is the direct cause of traffic risk. Neighbor risk is the most direct cause of traffic accidents. Transition risk has a linkage with other risk factors, which is easy to be sensitive to the changes of other risk factors in the system, but also to affect other risk factors. Essential risk driver’s safety awareness and attitude is the root factor of the whole system.The key link factorstraffic flow, gradient and slope length, meteorological conditions, and traffic composition characteristicshave strong linkage with other risk factors. They have a great possibility of complex nonlinear interaction with other risk factors, thus increasing the possibility of traffic accidents. 4 tabs, 4 figs, 27 refs.
Last Update: 2019-01-28