{"title":"飞行疲劳事件信息分析与预防策略研究","authors":"Jun-Jie Liu, Huijuan Yan, Meiye Cui","doi":"10.1109/ICTIS.2019.8883818","DOIUrl":null,"url":null,"abstract":"This research is aimed to study potential causal factors of pilot fatigue events and patterns of different consequences caused by theses events, and to put forward corresponding improvement measures. Firstly, taking 250 typical fatigue events collected from ASRS in 2012-2016 as samples, the Element Event Analysis Method (EEAM) is used to split the content of the reports, in this way, 5 fatigue causes, 6 contributory causes and 7 event consequences are obtained. Secondly, using ECCAIRS encoding rules to make fatigue reports encoding rules, which can encode the sample events information, then the effective actions based on different events encoding are taken. Taking a fatigue report from ASRS as an example, the empirical analysis results show that fatigue events can be effectively and quickly distinguished through classification analysis and scientific encoding of the acquired flight fatigue events, at the same time, corresponding control measures could be conceived and taken in an appropriate manner.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Information Analysis and Prevention Strategy of Flight Fatigue Events\",\"authors\":\"Jun-Jie Liu, Huijuan Yan, Meiye Cui\",\"doi\":\"10.1109/ICTIS.2019.8883818\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research is aimed to study potential causal factors of pilot fatigue events and patterns of different consequences caused by theses events, and to put forward corresponding improvement measures. Firstly, taking 250 typical fatigue events collected from ASRS in 2012-2016 as samples, the Element Event Analysis Method (EEAM) is used to split the content of the reports, in this way, 5 fatigue causes, 6 contributory causes and 7 event consequences are obtained. Secondly, using ECCAIRS encoding rules to make fatigue reports encoding rules, which can encode the sample events information, then the effective actions based on different events encoding are taken. Taking a fatigue report from ASRS as an example, the empirical analysis results show that fatigue events can be effectively and quickly distinguished through classification analysis and scientific encoding of the acquired flight fatigue events, at the same time, corresponding control measures could be conceived and taken in an appropriate manner.\",\"PeriodicalId\":325712,\"journal\":{\"name\":\"2019 5th International Conference on Transportation Information and Safety (ICTIS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Transportation Information and Safety (ICTIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTIS.2019.8883818\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS.2019.8883818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Information Analysis and Prevention Strategy of Flight Fatigue Events
This research is aimed to study potential causal factors of pilot fatigue events and patterns of different consequences caused by theses events, and to put forward corresponding improvement measures. Firstly, taking 250 typical fatigue events collected from ASRS in 2012-2016 as samples, the Element Event Analysis Method (EEAM) is used to split the content of the reports, in this way, 5 fatigue causes, 6 contributory causes and 7 event consequences are obtained. Secondly, using ECCAIRS encoding rules to make fatigue reports encoding rules, which can encode the sample events information, then the effective actions based on different events encoding are taken. Taking a fatigue report from ASRS as an example, the empirical analysis results show that fatigue events can be effectively and quickly distinguished through classification analysis and scientific encoding of the acquired flight fatigue events, at the same time, corresponding control measures could be conceived and taken in an appropriate manner.