Name
Abstract | ||
|---|---|---|
Controlling vehicle velocity, by coaching the driver to eco-drive with an advanced driver assistance system (ADAS), is a promising method to decrease fuel consumption and greenhouse gas emissions for combustion engine-driven road vehicles. By using optimal control techniques, such a system may find velocity profiles in real-time that minimize fuel consumption. This is particularly useful to recommend the optimal time to initiate coasting, which is otherwise difficult to estimate by a driver. However, this ADAS should not choose velocities and accelerations that the driver will dislike, such as those that leave too much or too little space to the preceding vehicle, or those that take corners at high speed. To remedy this, we introduce an optimal control model of acceleration that mimics drivers' behavior and combine this with a model of fuel consumption to trade-off driver preferences and fuel savings. We give examples of the velocity profiles recommended in a typical driving scenario to demonstrate the potential fuel savings. Finally, we give details of a prototype system, which has recently been implemented in the driving simulator at the University of Southampton. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMC.2018.00216 | 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) |
Field | DocType | ISSN |
Automotive engineering,Combustion,Advanced driver,Driving simulator,Optimal control,Control theory,Computer science,Acceleration,Fuel efficiency,Greenhouse gas | Conference | 1062-922X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fleming, J. | 1 | 12 | 3.22 |
| Xingda Yan | 2 | 0 | 0.34 |
| Craig Allison | 3 | 0 | 2.03 |
| Neville A. Stanton | 4 | 3 | 3.15 |
| Roberto Lot | 5 | 0 | 0.68 |