保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Recurso digital |
| 言語: | 英語 |
| 出版事項: |
Zenodo
2025
|
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.5281/zenodo.17659400 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
目次:
- <p><em><span lang="EN-US">The convergence of Internet of Things and autonomous vehicle technologies marks a major advancement in engineering and urban mobility. This paper explores how interconnected<span> </span>sensors<span> </span>and<span> </span>devices<span> </span>enable<span> </span>AVs<span> </span>to<span> </span>evolve from operating independently to functioning as part of an intelligent, integrated transportation network. Through IoT, AVs<span> </span>can<span> </span>gather<span> </span>and<span> </span>interpret<span> </span>large<span> </span>volumes<span> </span>of<span> </span>real-time data on traffic patterns, road conditions, and environmental factors,<span> </span>improving<span> </span>both<span> </span>safety<span> </span>and<span> </span>route<span> </span>efficiency.<span> </span>Central to this integration are Vehicle-to-Infrastructure (V2I) links<span> </span>that support navigation in complex urban settings, Vehicle-to- Vehicle<span> </span>(V2V)<span> </span>communication<span> </span>that<span> </span>enables<span> </span>coordinated<span> </span>driving, and edge computing that ensures rapid, low-latency decision- making. The paper also highlights the challenges of this connectivity, including the demand for strong cybersecurity to protect against vulnerabilities and the complexity of handling massive data flows.</span></em></p> <p><em><span lang="EN-US"> </span></em></p>