Name
Title | ||
|---|---|---|
Dynamic Eco-Driving's Fuel Saving Potential in Traffic: Multi-Vehicle Simulation Study Comparing Three Representative Methods. |
Abstract | ||
|---|---|---|
Dynamic eco-driving is a well-known umbrella term describing speed control schemes that utilize connected and automated vehicle technology for the purpose of saving fuel. If dynamic eco-driving is to be widely prescribed as an integral part of widespread fuel-saving endeavors, its expected performance as part of the overall traffic system must be analyzed. Specifically, it must be determined to wh... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2766767 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Vehicle dynamics,Automobiles,Heuristic algorithms,Roads,Fuel economy,Intelligent vehicles | Traffic signal,Level of service,Simulation,Traffic simulation,Vehicle dynamics,Test case,Variables,Engineering,Traffic system,Electronic speed control | Journal |
Volume | Issue | ISSN |
19 | 9 | 1524-9050 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danielle Fredette | 1 | 0 | 0.34 |
| Ümit Özgüner | 2 | 1014 | 166.59 |