{"title":"Driver Intelligent Support System in Internet of Transportation Things: Smartphone-Based Approach","authors":"A. Kashevnik, I. Lashkov, N. Teslya","doi":"10.1109/SYSOSE.2019.8753839","DOIUrl":null,"url":null,"abstract":"The paper proposes an approach to the driver decision support system that is based on Internet of Transportation Things concept. Internet of Transportation Things is aimed at information collection from transport related things and storage to improve the transportation process for the driver. The approach presented in the paper is aimed at information collection and processing from smartphones mounted in the vehicles windshield while driving. We propose to store information in the cloud that allows to collect it from different drivers and utilize to identify their similar behavior, preferences to provide them personalized recommendations.","PeriodicalId":133413,"journal":{"name":"2019 14th Annual Conference System of Systems Engineering (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th Annual Conference System of Systems Engineering (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSOSE.2019.8753839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The paper proposes an approach to the driver decision support system that is based on Internet of Transportation Things concept. Internet of Transportation Things is aimed at information collection from transport related things and storage to improve the transportation process for the driver. The approach presented in the paper is aimed at information collection and processing from smartphones mounted in the vehicles windshield while driving. We propose to store information in the cloud that allows to collect it from different drivers and utilize to identify their similar behavior, preferences to provide them personalized recommendations.
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