Vehicular Cloud for Smart Driving Using Internet of Things.

The vehicular cloud can be made more reliable by having minimum number of vehicles and their accessibility of the vehicles in the given lane; in addition reliability can also be made using the function called movement of vehicles. The number of vehicles present in the area determines the task that c...

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Publicado en:Journal of Medical Systems Vol. 42; no. 12; pp. 1 - 2
Autores principales: Vijayarangam, S., Megalai, J., Krishnan, Sivakumar, Nagarajan, Sivakumar, Devi, M. Ramya, Lokesh, S.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2018
      vid: 42
      iid: 12
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-018-1105-4
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        atl: Vehicular Cloud for Smart Driving Using Internet of Things.
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        au:
          Vijayarangam, S.
          Megalai, J.
          Krishnan, Sivakumar
          Nagarajan, Sivakumar
          Devi, M. Ramya
          Lokesh, S.
        affil: Priyadarshini Engineering College, Vaniyambadi, Tamil Nadu, India
      sug:
        subj:
          Cloud Computing
          Internet of Things
          Automobile Driving
          Systems Design
          Human
          Travel
          Safety
          Transportation
          Wireless Communications
          Mobile Applications
          Text Messaging
          Global Positioning System
          Hypertext
          Poisson Distribution
          Descriptive Statistics
      ab: The vehicular cloud can be made more reliable by having minimum number of vehicles and their accessibility of the vehicles in the given lane; in addition reliability can also be made using the function called movement of vehicles. The number of vehicles present in the area determines the task that can be accessed in the area and with the help of travelling time of the vehicles the validity of the lane can be determined. In this paper, a research is carried based on the stochastic investigation on the some of attributes of traffic with the help of cloud in street portion to accept the necessary attribute prototypes. In this paper two types of activity is done, first one is free flow movement of vehicle and second one is queuing- up activity. For the first activity, a noticeable traffic model is used to find the free flow movement of the vehicle and some parameters like activity thickness, living time and quantity of vehicles. In case of second activity queuing up model is used to find queue flow and parameters like length of line and time in the line are found. The research outcome will be given to all peoples in road traffic and traffic is the problem in many developed countries and they can be free from traffic. This model suggests an alternate route for the user which is free from traffic.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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