Journal ArticleDOI
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management
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TLDR
This paper presents 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, and presents some case studies to demonstrate the effectiveness of parallel transportation systems.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.read more
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References
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Proceedings ArticleDOI
Friendship and mobility: user movement in location-based social networks
TL;DR: A model of human mobility that combines periodic short range movements with travel due to the social network structure is developed and it is shown that this model reliably predicts the locations and dynamics of future human movement and gives an order of magnitude better performance.
Journal ArticleDOI
Research Directions for the Internet of Things
TL;DR: A vision for how IoT could change the world in the distant future is presented and eight key research topics are enumerated and research problems within these topics are discussed.
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Data-Driven Intelligent Transportation Systems: A Survey
TL;DR: A survey on the development of D2ITS is provided, discussing the functionality of its key components and some deployment issues associated with D2 ITS Future research directions for the developed system are presented.
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A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective
TL;DR: The status of IoT development in China is introduced, including policies, R&D plans, applications, and standardization, and an open and general IoT architecture consisting of three platforms is proposed to meet the architecture challenge.
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Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications
TL;DR: The developments and applications described here clearly indicate that PtMS is effective for use in networked complex traffic systems and is closely related to emerging technologies in cloud computing, social computing, and cyberphysical-social systems.