Seeing Is Believing: Sharing Real-Time Visual Traffic Information via Vehicular Clouds

作者: Daehan Kwak , Ruilin Liu , Daeyoung Kim , Badri Nath , Liviu Iftode

DOI: 10.1109/ACCESS.2016.2569585

关键词: Cloud computingWireless sensor networkEstimated time of arrivalVehicular ad hoc networkVehicular communication systemsComputer scienceSystems designComputer networkAndroid (operating system)

摘要: From today’s conventional cars to tomorrow’s self-driving cars, advances in technology will enable vehicles be equipped with more and more-sophisticated sensing devices, such as cameras. As gain the ability act mobile sensors that carry useful traffic information, people are sharing data enhance driving experience. This paper describes a vehicular cloud service for route planning, where users collaborate share images by using their vehicles’ on-board We present architecture of collaborative image-sharing system called social vehicle navigation, which allows drivers report visual information NaviTweets. A set NaviTweets is then filtered, refined, condensed into concise, user-friendly snapshot summary interest, digest. These digests can provide pertinent reliable about road situation complement predictions, estimated time arrival, thereby supporting users’ decision making. proof concept, this presents design prototype implementation running on Android smartphone platform, along its evaluation.

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