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- W2796007209 abstract "Vehicular Ad hoc Networks (VANETs) enable vehicles to collect and share information through the wireless communication for the purpose of improving the road traffic safety and efficiency. Many researchers have proposed cooperative vehicular systems to sense and predict the traffic condition by V2V communications. Existing methods tend to be linear with traffic condition estimation limited in a specific road or a road segment. Many are also lack of a privacy protection mechanism by requiring vehicles' geographical information to estimate surrounding traffic conditions, which brings in security and privacy concerns. This paper proposes an innovative query-response framework which not only enables vehicles to detect the traffic crowdedness of their surrounding region but also enables vehicles to obtain the remote region traffic crowdedness by sending query messages and fusing reply messages. Meanwhile, vehicles sense the traffic crowdedness of the surrounded region units that are covered by vehicle's transmission range which in turn is based on the proposed partitioning method without breaching the driver's privacy. Experimental results by simulations demonstrate that the proposed scheme can estimate vehicle's local region crowdedness and continuously predict a specified region crowdedness accurately under different traffic scenarios." @default.
- W2796007209 created "2018-04-13" @default.
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- W2796007209 date "2017-10-01" @default.
- W2796007209 modified "2023-09-27" @default.
- W2796007209 title "A cooperative framework for region crowdedness sensing in VANETs" @default.
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- W2796007209 doi "https://doi.org/10.1109/iccchina.2017.8330416" @default.
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