| Title |
S3 A: Smart Station Search Assistance for Electric Vehicle-A Step Toward Smart City |
| ID_Doc |
41697 |
| Authors |
Goel, S; Kumar, R; Kumar, A; Malhotra, R |
| Title |
S3 A: Smart Station Search Assistance for Electric Vehicle-A Step Toward Smart City |
| Year |
2020 |
| Published |
Ieee Consumer Electronics Magazine, 9, 4 |
| DOI |
10.1109/MCE.2020.2985656 |
| Abstract |
The transition of transportation sector from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) has raised many concerns about their users which mainly include locating a suitable charging station for such vehicles. Presently, human intelligence-based methods are being used for the purpose. However, the development of Smart Station Search Assistance (S(3)A) system is an innovative step in this direction as it provides an optimal solution to locate a charging station as per user requirement subject to vehicle constraints. The use of optimization model in S(3)A for recommending an optimal charging station service has been justified. The main challenges which can affect the performance of the system have also been discussed. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000544381700002 |
| WoS Category |
Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
|