{"title":"Study on Accidents of Military Driver's Self-Mistakes","authors":"Zezhi-Shang, Li-yen Chang","doi":"10.1109/ICMTMA.2013.257","DOIUrl":null,"url":null,"abstract":"Through the mental process of military vehicle drivers, the paper analyzed the military vehicle accidents that causing the driver's self-mistakes based on the military traffic data and research. An accident causing model was formulated to describe the military vehicle drivers' self-mistakes characteristics and its relation with the traffic accidents. The weight of the main factors are determined by the improved AHP method, quantitatively analyzed military vehicle driving characteristics of the driver risk factors to determine the driver's self-mistakes that led to military vehicle accident that the main risk factors. The results show that the military vehicle accident the driver most of their mistakes are due to the perception of military vehicle driver error, relative to the first two operational errors were less likely to occur, but can not be ignored. Finally, countermeasures of how military vehicle drivers to control self-mistakes were offered. The results can provide the scientific basis for the drivers' self-mistakes and accident prevention.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMTMA.2013.257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Through the mental process of military vehicle drivers, the paper analyzed the military vehicle accidents that causing the driver's self-mistakes based on the military traffic data and research. An accident causing model was formulated to describe the military vehicle drivers' self-mistakes characteristics and its relation with the traffic accidents. The weight of the main factors are determined by the improved AHP method, quantitatively analyzed military vehicle driving characteristics of the driver risk factors to determine the driver's self-mistakes that led to military vehicle accident that the main risk factors. The results show that the military vehicle accident the driver most of their mistakes are due to the perception of military vehicle driver error, relative to the first two operational errors were less likely to occur, but can not be ignored. Finally, countermeasures of how military vehicle drivers to control self-mistakes were offered. The results can provide the scientific basis for the drivers' self-mistakes and accident prevention.