| Title | Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing |
| Creator | |
| Date Issued | 2023 |
| Source Publication | IEEE Transactions on Intelligent Transportation Systems
 |
| ISSN | 1524-9050 |
| Volume | 24Issue:1Pages:1359-1373 |
| Abstract | How to globally construct the effective traffic congestion control and management method on large-scale urban road network is an important research challenge. Since an urban region can be divided into many areas to be managed, grid management has great potential to improve traffic management on large-scale urban road network. In this paper, we propose an adaptive area-based traffic congestion control and management scheme, which is based on fog computing-based internet of vehicles. In our proposed scheme, an urban region is divided to many traffic management areas. Based on the real-time dynamic traffic tightness degrees and the static correlation degrees between these divided management areas, we can obtain the complete real-time regional traffic correlations of these divided management areas. Further, when a traffic congestion occurs, the fog servers use the constructed measures to control the signal lights in real time and effectively guide the traffic flow through the cooperation between these divided management areas. The experimental results show our proposed scheme can effectively implement the road guidance and traffic light control to alleviate or eliminate traffic congestion when a traffic congestion occurs. |
| Keyword | fog computing traffic congestion Traffic management urban area |
| DOI | 10.1109/TITS.2022.3183687 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85133736687 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11628 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Jia，Weijia |
| Affiliation | 1.Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,410114,China 2.Institute of Artificial Intelligence and Future Networks,Beijing Normal University,Zhuhai,519087,China 3.Beijing Normal University-Hong Kong Baptist University United International College (UIC),Guangdong Key Laboratory of Ai and Multi-Modal Data Processing,Zhuhai,519087,China |
| Corresponding Author Affilication | Beijing Normal-Hong Kong Baptist University |
| Recommended Citation GB/T 7714 | Gu，Ke,Hu，Jieyu,Jia，Weijia. Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(1): 1359-1373. |
| APA | Gu，Ke, Hu，Jieyu, & Jia，Weijia. (2023). Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing. IEEE Transactions on Intelligent Transportation Systems, 24(1), 1359-1373. |
| MLA | Gu，Ke,et al."Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing". IEEE Transactions on Intelligent Transportation Systems 24.1(2023): 1359-1373. |
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