Name
Title | ||
|---|---|---|
Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning |
Abstract | ||
|---|---|---|
Nowadays, most of the taxi drivers have become users of the relocation recommendation service offered by online ride-hailing platforms (e.g., Uber and Didi Chuxing), which could oftentimes lead drivers to places with profitable orders. At the same time, electric taxis (e-taxis) are increasingly adopted and gradually replacing gasoline taxis in today’s public transportation systems due to their env... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMC.2020.3022173 | IEEE Transactions on Mobile Computing |
Keywords | DocType | Volume |
Charging stations,Vehicles,Public transportation,Learning (artificial intelligence),Petroleum,Urban areas,Decision making | Journal | 21 |
Issue | ISSN | Citations |
4 | 1536-1233 | 0 |
PageRank | References | Authors |
0.34 | 22 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enshu Wang | 1 | 3 | 2.75 |
| Rong Ding | 2 | 0 | 0.68 |
| Zhaoxing Yang | 3 | 0 | 1.69 |
| Haiming Jin | 4 | 71 | 4.70 |
| Chenglin Miao | 5 | 0 | 0.34 |
| lu su | 6 | 1118 | 66.61 |
| Fan Zhang | 7 | 0 | 0.34 |
| Chunming Qiao | 8 | 3971 | 400.49 |
| Xinbing Wang | 9 | 2642 | 214.43 |