| Title |
Swarm Wisdom for Smart Mobility - The next generation of Autonomous Vehicles |
| ID_Doc |
32500 |
| Authors |
Naseer, A; Jaber, M |
| Title |
Swarm Wisdom for Smart Mobility - The next generation of Autonomous Vehicles |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00340 |
| Abstract |
In the advent of realising Level 3 autonomous driving, the race of cities towards achieving Smart Mobility has recently escalated with promises of green, accessible, affordable, efficient, and ethical transport. Thus, the paradigm of smart mobility is intertwined with the challenges of autonomous driving and these are best addressed jointly. At the same time, breakthrough advances in artificial intelligence innovations have transformed the dream of autonomous driving to a near future tangible possibility. The challenges of scalability, accountability, trust, and incurred cost are nonetheless hindering the speedy deployment of the autonomous driving features and the societal acceptance of such technologies. In this paper, we offer an in-depth analysis of the Smart Mobility and autonomous driving state of the art technologies and identify the mainstream trends and shortcomings. Furthermore, we offer a new hybrid ecosystem that curtails these obstacles and unlocks the potentials of smart mobility by creating the ubiquitous Swarm Wisdom. |
| Author Keywords |
smart mobility; autonomous driving; swarm intelligence; collective intelligence; augmented knowledge |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000936421900288 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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