{"title":"基于随机森林的国道与省道交叉口交通事故影响因素分析","authors":"Huiying Xu, G. Huang","doi":"10.1109/ICTIS54573.2021.9798574","DOIUrl":null,"url":null,"abstract":"In order to study the influencing factors of different accident injury degree at the intersections of national and provincial roads, the random forest model is used to predict the accident injury degree at intersections of national and provincial roads, and the model fusion method is used to improve its accuracy. The results show that the main factors affecting fatal accidents are accident form (pedestrian scratch), cause of accident (failing to give way and speeding), time period (early morning and evening), vehicle type (car and heavy truck), traffic control mode (no control, only signs and markings). On this basis, the improvement suggestions are put forward according to the factors affecting the accident. The research conclusions can provide decision-making reference for the accident prevention of national and provincial road intersections.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on Influencing Factors of accidents at national and provincial road intersections based on random forest\",\"authors\":\"Huiying Xu, G. Huang\",\"doi\":\"10.1109/ICTIS54573.2021.9798574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to study the influencing factors of different accident injury degree at the intersections of national and provincial roads, the random forest model is used to predict the accident injury degree at intersections of national and provincial roads, and the model fusion method is used to improve its accuracy. The results show that the main factors affecting fatal accidents are accident form (pedestrian scratch), cause of accident (failing to give way and speeding), time period (early morning and evening), vehicle type (car and heavy truck), traffic control mode (no control, only signs and markings). On this basis, the improvement suggestions are put forward according to the factors affecting the accident. The research conclusions can provide decision-making reference for the accident prevention of national and provincial road intersections.\",\"PeriodicalId\":253824,\"journal\":{\"name\":\"2021 6th International Conference on Transportation Information and Safety (ICTIS)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th International Conference on Transportation Information and Safety (ICTIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTIS54573.2021.9798574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS54573.2021.9798574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on Influencing Factors of accidents at national and provincial road intersections based on random forest
In order to study the influencing factors of different accident injury degree at the intersections of national and provincial roads, the random forest model is used to predict the accident injury degree at intersections of national and provincial roads, and the model fusion method is used to improve its accuracy. The results show that the main factors affecting fatal accidents are accident form (pedestrian scratch), cause of accident (failing to give way and speeding), time period (early morning and evening), vehicle type (car and heavy truck), traffic control mode (no control, only signs and markings). On this basis, the improvement suggestions are put forward according to the factors affecting the accident. The research conclusions can provide decision-making reference for the accident prevention of national and provincial road intersections.