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
Source PublicationIEEE Transactions on Intelligent Transportation Systems
2020
Volume21Issue:10Pages:4063 - 4071
Abstract

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.

KeywordIntelligent transportation systems
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/40598
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorYisheng Lv
Recommended Citation
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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