{"title":"基于时间推理的交通事故建模与分析","authors":"Ioan Chisalita, N. Shahmehri, P. Lambrix","doi":"10.1109/ITSC.2004.1398928","DOIUrl":null,"url":null,"abstract":"Traffic accidents account for more than half a million casualties every year. The analysis of accidents helps identifying the elements that affect traffic conditions, the relationships between them, and how they may contribute to the occurrence of dangerous situations. In this paper, we present a temporal reasoning system for modeling and analyzing various types of accident scenarios. The system is based on event calculus and was implemented using Prolog. We exemplify the use of the system by applying it for modeling and analyzing a rear-end accident scenario.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"30 26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Traffic accidents modeling and analysis using temporal reasoning\",\"authors\":\"Ioan Chisalita, N. Shahmehri, P. Lambrix\",\"doi\":\"10.1109/ITSC.2004.1398928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic accidents account for more than half a million casualties every year. The analysis of accidents helps identifying the elements that affect traffic conditions, the relationships between them, and how they may contribute to the occurrence of dangerous situations. In this paper, we present a temporal reasoning system for modeling and analyzing various types of accident scenarios. The system is based on event calculus and was implemented using Prolog. We exemplify the use of the system by applying it for modeling and analyzing a rear-end accident scenario.\",\"PeriodicalId\":239269,\"journal\":{\"name\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"volume\":\"30 26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2004.1398928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2004.1398928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traffic accidents modeling and analysis using temporal reasoning
Traffic accidents account for more than half a million casualties every year. The analysis of accidents helps identifying the elements that affect traffic conditions, the relationships between them, and how they may contribute to the occurrence of dangerous situations. In this paper, we present a temporal reasoning system for modeling and analyzing various types of accident scenarios. The system is based on event calculus and was implemented using Prolog. We exemplify the use of the system by applying it for modeling and analyzing a rear-end accident scenario.