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- W330197105 abstract "Information propagation through inter-vehicle communications (IVC) is the core of the application of vehicular ad-hoc networks (VANETs). This paper proposes a statistical model on the dynamic information propagation of IVC systems, considering the effects from traffic density, traffic speed, transmission range, and penetration rates of equipped vehicles. In the model specification, distance is discretized into segments of transmission range. Segments are further discretized into cells where traffic flow propagation is simulated by applying the stochastic cell transmission model. Captured by the first and last cells containing equipped vehicles, the state of the segment is modeled as following the Markov chain process. The authors firstly compute the initial probability of the state of segments, then derive the probability of two segments being connected. Coupled with the traffic flow propagation, the state transition probabilities are further derived. Finally, they present a demonstration example to demonstrate the properties of dynamic information propagation." @default.
- W330197105 created "2016-06-24" @default.
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- W330197105 date "2015-01-01" @default.
- W330197105 modified "2023-09-23" @default.
- W330197105 title "On Dynamic Information Propagation through Inter-Vehicle Communications" @default.
- W330197105 hasPublicationYear "2015" @default.
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