| Title |
Sustainable Micromobility Management in Smart Cities |
| ID_Doc |
43170 |
| Authors |
Fong, B; Fong, ACM; Hong, GY |
| Title |
Sustainable Micromobility Management in Smart Cities |
| Year |
2023 |
| Published |
Ieee Transactions On Intelligent Transportation Systems, 24, 12 |
| DOI |
10.1109/TITS.2023.3292377 |
| Abstract |
Micromobility provides a key to the design and implementation of sustainable solutions through enhancements in safety and resource utilization efficiency. Various smart applications, safety-related and information services can only be provided through a comprehensive vehicle-to-infrastructure (V2I) network and a vehicular cloud integrated solution. Micromobility exhibits tremendous potential in the unique smart city environment, where access to public transport services is often a concern. Scalable and customizable solutions to concentrate commuters for easy access to public transport hubs will be an important objective for enhancing efficiency in both energy consumption and travel within a smart city. This paper proposes a prognostics approach for sustainable micromobility management through optimization of appropriate V2I and V2V communication systems by using artificial intelligence for adaptive modulation and self-cognizant prognostics in order to solve the challenges associated with tackling parking and road congestion issues in a sustainable smart city environment. |
| Author Keywords |
Green communications; prognostics; smart mobility; sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001043261700001 |
| WoS Category |
Engineering, Civil; Engineering, Electrical & Electronic; Transportation Science & Technology |
| Research Area |
Engineering; Transportation |
| PDF |
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