Name
Title | ||
|---|---|---|
Vehicle Control Method at T-Junctions for Mixed Environments Containing Autonomous and Non-autonomous Vehicles. |
Abstract | ||
|---|---|---|
Congestion reduction is one of the expected positive effects of the implementation of autonomous vehicles; however, in mixed environments containing autonomous and non-autonomous vehicles, the anticipated positive effects may not be fully attained. In this study, we simulate various mixed environments containing autonomous and non-autonomous vehicles and assess the traffic congestion issues encountered at a T-junction intersection. Then, a method to resolve these issues is proposed involving the adjustment of inter-vehicle distance. Finally, the proposed method is evaluated and shows positive results. |
Year | Venue | Field |
|---|---|---|
2018 | AINA | AT-T,Computer science,Automation,Vehicle control,Traffic congestion,Distributed computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroto Furukawa | 1 | 1 | 0.75 |
| masashi saito | 2 | 4 | 3.50 |
| Yuichi Tokunaga | 3 | 0 | 0.34 |
| Ryozo Kiyohara | 4 | 30 | 13.06 |