01558190

Component

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.

This paper was sponsored by TRB committee AHB15 Intelligent Transportation Systems.

01550057

15-5003

English

26p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References

Advanced driver information systems; Markov processes; Mathematical models; Traffic density; Traffic flow; Traffic speed; Vehicle to vehicle communications; Vehicular ad hoc networks

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-5003

TRIS, TRB, ATRI

Dec 30 2014 1:40PM