Intelligent transportation systems for smart cities: a progress review

Zhang, Xiong; Sheng, Hao; Wu, Rong; Cooper, Dave

doi:10.1007/s11432-012-4725-1

Cited by 166 publications

(86 citation statements)

References 41 publications

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“…The Internet of Things has emergent range of applications domains such as in healthcare [3][4][5], supply chain management [6,7], energy management [8,9], intelligent transport systems [10][11][12], ambient aided living (AAL) [13][14][15] and smart grid power transmission [16,17] among other domains. Detailed surveys on applications of IoT are in [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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Section: Introductionmentioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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“…Specifically these may include robotics for repair and maintenance [16], driverless transportation [17] and power management [18] among others.…”

Section: Smart Cities and Autonomous Vehiclesmentioning

confidence: 99%

Facilitating Dynamic RT-QoS for Massive-Scale Autonomous Cyber-Physical Systems

McKee

Ouyang

2018

IEICE Trans. Commun.

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SUMMARY With the evolution of autonomous distributed systems such as smart cities, autonomous vehicles, smart control and scheduling systems there is an increased need for approaches to manage the execution of services to deliver real-time performance. As Cloud-hosted services are increasingly used to provide intelligence and analytic functionality to Internet of Things (IoT) systems, Quality of Service (QoS) techniques must be used to guarantee the timely service delivery. This paper reviews state-of-the-art QoS and Cloud techniques for real-time service delivery and data analysis. A review of straggler mitigation and a classification of real-time QoS techniques is provided. Then a mathematical framework is presented capturing the relationship between the host execution environment and the executing service allowing the response-times to predicted throughout execution. The framework is shown experimentally to reduce the number of QoS violations by 21% and provides alerts during the first 14ms provide alerts for 94% of future violations.

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“…These systems making up the smart city will automatically manage power and communication infrastructure, environment, traffic and other aspects of the city for the benefit and well-being of its inhabitants through ubiquitous sensing and embedded intelligence. This includes robotics for repair and maintenance [31], [32], driverless transportation [33] and power management [30] among others.…”

Section: A Smart Citiesmentioning

confidence: 99%

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

McKee

Clement

Almutairi

et al. 2017

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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Abstract-The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing stateof-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.

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Intelligent transportation systems for smart cities: a progress review

Cited by 166 publications

References 41 publications

Internet of Things Malware : A Survey

Internet of Things Malware : A Survey

Facilitating Dynamic RT-QoS for Massive-Scale Autonomous Cyber-Physical Systems

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

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