篇名 |
Artificial Intelligence Based Traffic Control for Edge Computing Assisted Vehicle Networks
|
---|---|
並列篇名 | Artificial Intelligence Based Traffic Control for Edge Computing Assisted Vehicle Networks |
作者 | Songlin Chen、Hong Wen、Jinsong Wu |
英文摘要 | Edge computing supported vehicle networks have attracted considerable attention in recent years both from industry and academia due to their extensive applications in urban traffic control systems. We present a general overview of Artificial Intelligence (AI)-based traffic control approaches which focuses mainly on dynamic traffic control via edge computing devices. A collaborative edge computing network embedded in the AI-based traffic control system is proposed to process the massive data from roadside sensors to shorten the real-time response time, which supports efficient traffic control and maximizes the utilization of computing resources in terms of incident levels associated with different rescue schemes. Furthermore, several open research issues and indicated future directions are discussed.
|
起訖頁 | 989-996 |
關鍵詞 | Vehicle networks、Edge computing、Traffic control、Artificial intelligence (AI)、Real-time responses |
刊名 | 網際網路技術學刊 |
期數 | 202209 (23:5期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
|
QR Code | |
該期刊 上一篇
| Development of an Intelligent Defect Detection System for Gummy Candy under Edge Computing |
該期刊 下一篇
| Big Data Analysis of the Relationship between Sleep Duration, Hyperuricemia, and Hypertension |