{"title":"基于大数据系统的事故实时预测","authors":"Mouad Tantaoui, M. Laanaoui, M. Kabil","doi":"10.1145/3386723.3387886","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new prediction system in real time using Big Data to improve the VANET network. Firstly, The Traffic density and average speed are calculated in each section of road, and then the risk of vehicle accident is predicted in instantaneous manner with parallel data processing, which makes execution faster.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time Prediction of Accident using Big Data System\",\"authors\":\"Mouad Tantaoui, M. Laanaoui, M. Kabil\",\"doi\":\"10.1145/3386723.3387886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new prediction system in real time using Big Data to improve the VANET network. Firstly, The Traffic density and average speed are calculated in each section of road, and then the risk of vehicle accident is predicted in instantaneous manner with parallel data processing, which makes execution faster.\",\"PeriodicalId\":139072,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Networking, Information Systems & Security\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Networking, Information Systems & Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3386723.3387886\",\"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 of the 3rd International Conference on Networking, Information Systems & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386723.3387886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time Prediction of Accident using Big Data System
In this paper, we propose a new prediction system in real time using Big Data to improve the VANET network. Firstly, The Traffic density and average speed are calculated in each section of road, and then the risk of vehicle accident is predicted in instantaneous manner with parallel data processing, which makes execution faster.
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