Name
Abstract | ||
|---|---|---|
Vehicular networks are networks comprised of vehicles traveling cities and highways. During their trajectories, these vehicles interact with other vehicles and roadside units, to make safer and enjoyable traffic. Several factors may influence these interactions. To mention a few: vehicle speed, roads condition, time of day and weather. Moreover, driver behavior and its interests can influence in vehicle features. In this context, the Vehicular Social Networks arise as a new perspective to vehicular networks, where the vehicles \"socialize\" and share common interests. In this work, we check the behavior of vehicles using two mobility scenarios, to classify them according to the interactions performed, identifying common interests and similar routines. Thus, we use metrics of complex networks and statistical techniques. Results prove the existence of routines and human features in Vehicular Networks. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2989250.2989260 | MobiWac |
Field | DocType | Citations |
Time of day,Social network,Computer security,Computer science,Computer network,SAFER,Vehicular communication systems,Complex network,Vehicular ad hoc network | Conference | 0 |
PageRank | References | Authors |
0.34 | 14 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felipe D. da Cunha | 1 | 86 | 6.60 |
| Davidysson A. Alvarenga | 2 | 2 | 0.71 |
| Guilherme Maia | 3 | 199 | 17.67 |
| Aline Carneiro Viana | 4 | 497 | 37.11 |
| Raquel A. F. Mini | 5 | 248 | 23.58 |
| Antonio Loureiro | 6 | 2406 | 197.77 |