{"title":"开发一种警告驾驶员在危险路段行驶的信息模型","authors":"Kushchenko LiliyaEvgen’evna","doi":"10.33979/2073-7432-2022-1(79)-4-94-101","DOIUrl":null,"url":null,"abstract":"The analysis of the statistics of road accidents on one of the sections of the road network adjacent to the core of the urban agglomeration was carried out, and the percentage ratio of the type of transport used and the number of vehicles in the family was determined using a sociological survey. According to the results of the documentary study, it was determined that Tuesday and Sunday are the most dangerous days of the week with the largest number of road accidents, as well as the most common and frequently occurring types of accidents are collisions and hitting pedestrians. On the basis of mathematical statistics and theory of probability, the correlation dependence between the proposed time ranges is established. The information model has been developed that allows warning the driver about driving on a dangerous section of the road network and using the proposed methods to improve road safety.","PeriodicalId":178900,"journal":{"name":"World of transport and technological machines","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DEVELOPMENT OF AN INFORMATION MODEL WARNING THE DRIVER ABOUT MOVEMENT ALONG A DANGEROUS ROAD SECTION\",\"authors\":\"Kushchenko LiliyaEvgen’evna\",\"doi\":\"10.33979/2073-7432-2022-1(79)-4-94-101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of the statistics of road accidents on one of the sections of the road network adjacent to the core of the urban agglomeration was carried out, and the percentage ratio of the type of transport used and the number of vehicles in the family was determined using a sociological survey. According to the results of the documentary study, it was determined that Tuesday and Sunday are the most dangerous days of the week with the largest number of road accidents, as well as the most common and frequently occurring types of accidents are collisions and hitting pedestrians. On the basis of mathematical statistics and theory of probability, the correlation dependence between the proposed time ranges is established. The information model has been developed that allows warning the driver about driving on a dangerous section of the road network and using the proposed methods to improve road safety.\",\"PeriodicalId\":178900,\"journal\":{\"name\":\"World of transport and technological machines\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World of transport and technological machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33979/2073-7432-2022-1(79)-4-94-101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World of transport and technological machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33979/2073-7432-2022-1(79)-4-94-101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DEVELOPMENT OF AN INFORMATION MODEL WARNING THE DRIVER ABOUT MOVEMENT ALONG A DANGEROUS ROAD SECTION
The analysis of the statistics of road accidents on one of the sections of the road network adjacent to the core of the urban agglomeration was carried out, and the percentage ratio of the type of transport used and the number of vehicles in the family was determined using a sociological survey. According to the results of the documentary study, it was determined that Tuesday and Sunday are the most dangerous days of the week with the largest number of road accidents, as well as the most common and frequently occurring types of accidents are collisions and hitting pedestrians. On the basis of mathematical statistics and theory of probability, the correlation dependence between the proposed time ranges is established. The information model has been developed that allows warning the driver about driving on a dangerous section of the road network and using the proposed methods to improve road safety.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
