Knowledge Commons of Institute of Automation,CAS
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management | |
Fenghua Zhu; Yisheng Lv; Yuanyuan Chen; Xiao Wang; Gang Xiong; Fei-Yue Wang | |
发表期刊 | IEEE Transactions on Intelligent Transportation Systems |
ISSN | 1524-9050 |
2020 | |
卷号 | 21期号:10页码:4063 - 4071 |
通讯作者 | Lv, Yisheng(yishong.lv@ia.ac.cn) |
摘要 | IoT-driven intelligent transportation systems (ITS) have great potential and capacity to make transportation systems efficient, safe, smart, reliable, and sustainable. The IoT provides the access and driving forces of seamlessly integrating transportation systems from the physical world to the virtual counterparts in the cyber world. In this paper, we present visions and works on integrating the artificial intelligent transportation systems and the real intelligent transportation systems to create and enhance “intelligence” of IoT-enabled ITS. With the increasing ubiquitous and deep sensing capacity of IoT-enabled ITS, we can quickly create artificial transportation systems equivalent to physical transportation systems in computers, and thus have parallel intelligent transportation systems, i.e. the real intelligent transportation systems and artificial intelligent transportation systems. The evolution process of transportation system is studied in the view of the parallel world. We can use a large number of long-term iterative simulation to predict and analyze the expected results of operations. Thus, truly effective and smart ITS can be planned, designed, built, operated and used. The foundation of the parallel intelligent transportation systems is based on the ACP theory, which is composed of artificial societies, computational experiments, and parallel execution. We also present some case studies to demonstrate the effectiveness of parallel transportation systems. |
关键词 | Intelligent transportation systems |
DOI | 10.1109/TITS.2019.2934991 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2018YFB1004803] ; National Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[61773381] |
项目资助者 | National Key Research and Development Program of China ; National Natural Science Foundation of China |
WOS研究方向 | Engineering ; Transportation |
WOS类目 | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
WOS记录号 | WOS:000576271400003 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40598 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Yisheng Lv |
推荐引用方式 GB/T 7714 | Fenghua Zhu,Yisheng Lv,Yuanyuan Chen,et al. Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management[J]. IEEE Transactions on Intelligent Transportation Systems,2020,21(10):4063 - 4071. |
APA | Fenghua Zhu,Yisheng Lv,Yuanyuan Chen,Xiao Wang,Gang Xiong,&Fei-Yue Wang.(2020).Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management.IEEE Transactions on Intelligent Transportation Systems,21(10),4063 - 4071. |
MLA | Fenghua Zhu,et al."Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management".IEEE Transactions on Intelligent Transportation Systems 21.10(2020):4063 - 4071. |
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