Name
Abstract | ||
|---|---|---|
Traffic congestion causes drivers' frustration and costs billions of dollars annually in lost time and fuel consumption. In order to overcome such issues, this paper presents a mechanism for Intelligent Transport Systems named FOX (Fast Offset XPath), which aims to detect and manage traffic congestion in Vehicular Ad hoc Networks. FOX is implemented in a FOG computing environment, taking advantage of the aspects inherent to this platform, such as scalability, low latency, the importance of geographical location and network conditions. The focus is to reduce the time to process, reroute and notify vehicles. Simulation results show that the proposed mechanism can reduce the average trip time, CO2 emissions and fuel consumption. In particular, the average trip time was decreased approximately in 32%, the average fuel consumption in 14% and the stop time in 59%. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC) | Computer science,Computer network,Vehicular communication systems,Wireless ad hoc network,Intelligent transportation system,Latency (engineering),Fuel efficiency,Offset (computer science),Traffic congestion,Scalability |
DocType | Citations | PageRank |
Conference | 3 | 0.37 |
References | Authors | |
13 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Celso A. R. L. Brennand | 1 | 16 | 2.46 |
| Felipe D. da Cunha | 2 | 86 | 6.60 |
| Guilherme Maia | 3 | 199 | 17.67 |
| Eduardo Cerqueira | 4 | 572 | 69.85 |
| Antonio Loureiro | 5 | 2406 | 197.77 |
| Leandro A. Villas | 6 | 423 | 55.86 |