Name
Title | ||
|---|---|---|
Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles |
Abstract | ||
|---|---|---|
Connected automated driving technologies have shown tremendous improvement in recent years. However, it is still not clear how driving behaviors and energy consumption correlate with each other and to what extent these factors related to connected vehicles can influence the motion prediction performance. The precise recognition of driving behaviors and prediction of the vehicle motion is critical ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TITS.2021.3052786 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Energy consumption,Trajectory,Predictive models,Connected vehicles,Acceleration,Deep learning,Energy management | Journal | 22 |
Issue | ISSN | Citations |
7 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Xing | 1 | 100 | 10.68 |
| Chen Lv | 2 | 35 | 3.68 |
| Xiaoyu Mo | 3 | 10 | 1.55 |
| Zhongxu Hu | 4 | 24 | 4.32 |
| Chao Huang | 5 | 30 | 3.77 |
| Peng Hang | 6 | 24 | 5.75 |