Name
Title | ||
|---|---|---|
An intelligent transportation system for detection and control of congested roads in urban centers. |
Abstract | ||
|---|---|---|
Traffic jams frustrate drivers and cost billions per year in time and fuel consumption. In order to avoid such problems, this paper presents an intelligent transportation system that collects real-time traffic information and is able to detect and manage traffic congestion based on this information. Simulation results show that the proposed protocol can reduce the average travel time, CO2 emission and fuel consumption. In particular, the average travel time was reduced in approximately 23%, the average fuel consumption in 9% and average CO2 emission in 10%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISCC.2015.7405590 | ISCC |
Field | DocType | Citations |
Computer science,Transport engineering,Floating car data,Computer network,Intelligent transportation system,Fuel efficiency,Travel time,Traffic congestion | Conference | 5 |
PageRank | References | Authors |
0.49 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Celso A. R. L. Brennand | 1 | 16 | 2.46 |
| Allan Mariano de Souza | 2 | 52 | 9.15 |
| Guilherme Maia | 3 | 199 | 17.67 |
| Azzedine Boukerche | 4 | 4301 | 418.60 |
| Heitor Ramos | 5 | 196 | 18.09 |
| Antonio Loureiro | 6 | 2406 | 197.77 |
| Leandro A. Villas | 7 | 423 | 55.86 |