Name
Abstract | ||
|---|---|---|
In this paper, we propose a mathematical model for intelligent transportation systems (ITS) in an urban environment, which takes into account both the urban structure and vehicles. Using the stochastic geometry approach, we model the locations of vehicles with a Poisson point process on roads whose interval is a fixed value. We consider typical vehicle-to-infrastructure and vehicle-to-vehicle communication scenarios and derive theoretical values of the probability of successful transmission. Our results from numerical experiments reveal how the urban structure can affect wireless communications in ITS. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) | Stochastic geometry,Wireless,Numerical models,Computer science,Urban environment,Electronic engineering,Interference (wave propagation),Poisson point process,Intelligent transportation system,Urban structure |
DocType | ISSN | Citations |
Conference | 2577-2465 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tatsuaki Kimura | 1 | 21 | 6.30 |
| Hiroshi Saito | 2 | 164 | 16.39 |
| Hirotada Honda | 3 | 1 | 1.71 |
| Ryoichi Kawahara | 4 | 219 | 33.33 |