Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies

Feng, Yixiong; Hu, Bingtao; Hao, He; Gao, Yicong; Li, Zhiwu; Tan, Jianrong

doi:10.1109/TII.2018.2805910

Title: Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies

Abstract

With the development of communication and control technology, intelligent transportation systems have received increasing attention from both industry and academia. Intelligent transportation systems are supported by the Internet of Things, Cyber-Physical System, Artificial Intelligence, Cloud Computing and many other technologies, which supply fundamental information for connected and automated vehicles. Although plenty of studies have provided different formulations for intelligent transportation systems, many of them depend on Master Control Center. However, a centralized control mode requires a huge amount of data transmission and high level of hardware configuration and may cause communication delay and privacy leak. Some distributed architectures have been proposed to overcome the above problems but systematized technologies to collect and exchange information, process large amounts of data, model the dynamics of vehicles, and safely control the connected and automated vehicles are not explored in detail. In this paper, we proposed a novel distributed cyber-physical system for connected and automated vehicles in which every vehicle is modeled as a double-integrator using edge computing to analyze information collected from its nearest neighbors. The vehicles are supposed to travel along a desired trajectory and to maintain a rigid formation geometry. Related methodologies for the proposed system are illustrated and experiments aremore »« less

Authors:

Feng, Yixiong ^[1]; Hu, Bingtao ^[1]; Hao, He ^[2]; Gao, Yicong ^[3]; Li, Zhiwu ^[4]; Tan, Jianrong ^[1]

Zhejiang Univ., Hangzhou (China)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Zhejiang Univ., Hangzhou (China). Yicong Gao State Key Lab. of Fluid Power and Mechatronic Systems
Xidian Univ., Xi'an, Shaanxi (China)

Publication Date:: Wed Feb 14 00:00:00 EST 2018

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE; National Natural Science Foundation of China (NSFC)

OSTI Identifier:: 1423627

Grant/Contract Number:: AC0576RL01830

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Industrial Informatics

Additional Journal Information:: Journal Volume: PP; Journal Issue: 99; Journal ID: ISSN 1551-3203

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; Computers; Cyber-physical systems; Edge computing; Informatics; Privacy; Trajectory; Transportation; Connected and automated vehicle; Distributed Cyber-physical system; Double-integrator agent; Formulation design; Performance scaling

Citation Formats


                    Feng, Yixiong, Hu, Bingtao, Hao, He, Gao, Yicong, Li, Zhiwu, and Tan, Jianrong. Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies.  United States: N. p., 2018. 
Web.  doi:10.1109/TII.2018.2805910.

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                    Feng, Yixiong, Hu, Bingtao, Hao, He, Gao, Yicong, Li, Zhiwu, & Tan, Jianrong. Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies.  United States.  https://doi.org/10.1109/TII.2018.2805910

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                    Feng, Yixiong, Hu, Bingtao, Hao, He, Gao, Yicong, Li, Zhiwu, and Tan, Jianrong. Wed .  
"Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies".  United States.  https://doi.org/10.1109/TII.2018.2805910.  https://www.osti.gov/servlets/purl/1423627.

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@article{osti_1423627,

  title        = {Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies},

  author       = {Feng, Yixiong and Hu, Bingtao and Hao, He and Gao, Yicong and Li, Zhiwu and Tan, Jianrong},

  abstractNote = {With the development of communication and control technology, intelligent transportation systems have received increasing attention from both industry and academia. Intelligent transportation systems are supported by the Internet of Things, Cyber-Physical System, Artificial Intelligence, Cloud Computing and many other technologies, which supply fundamental information for connected and automated vehicles. Although plenty of studies have provided different formulations for intelligent transportation systems, many of them depend on Master Control Center. However, a centralized control mode requires a huge amount of data transmission and high level of hardware configuration and may cause communication delay and privacy leak. Some distributed architectures have been proposed to overcome the above problems but systematized technologies to collect and exchange information, process large amounts of data, model the dynamics of vehicles, and safely control the connected and automated vehicles are not explored in detail. In this paper, we proposed a novel distributed cyber-physical system for connected and automated vehicles in which every vehicle is modeled as a double-integrator using edge computing to analyze information collected from its nearest neighbors. The vehicles are supposed to travel along a desired trajectory and to maintain a rigid formation geometry. Related methodologies for the proposed system are illustrated and experiments are conducted showing that the performance of the connected and automated vehicles matches very well with analytic predictions. Some design guidelines and open questions are provided for the future study.},

  doi          = {10.1109/TII.2018.2805910},

  journal      = {IEEE Transactions on Industrial Informatics},

  number       = 99,

  volume       = PP,

  place        = {United States},

  year         = {Wed Feb 14 00:00:00 EST 2018},

  month        = {Wed Feb 14 00:00:00 EST 2018}

}

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Journal Article:

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https://doi.org/10.1109/TII.2018.2805910

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Cited by: 43 works

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Fig. 1: The formulation of DCPS

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Works referencing / citing this record:

Sequence Planning for Selective Disassembly Aiming at Reducing Energy Consumption Using a Constraints Relation Graph and Improved Ant Colony Optimization Algorithm
journal, August 2018

Hu, Bingtao; Feng, Yixiong; Zheng, Hao
Energies, Vol. 11, Issue 8
DOI: 10.3390/en11082106

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges
journal, February 2019

Fiore, Ugo; Florea, Adrian; Pérez Lechuga, Gilberto
Journal of Sensor and Actuator Networks, Vol. 8, Issue 1
DOI: 10.3390/jsan8010013

A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks
journal, August 2018

Feng, Yixiong; Wang, Yong; Zheng, Hao
Sensors, Vol. 18, Issue 8
DOI: 10.3390/s18082591

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.

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Similar Records

Title: Design of Distributed Cyber-Physical Systems for Connected and Automated Vehicles with Implementing Methodologies

Abstract

Citation Formats

Figures / Tables:

Sequence Planning for Selective Disassembly Aiming at Reducing Energy Consumption Using a Constraints Relation Graph and Improved Ant Colony Optimization Algorithm journal, August 2018

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges journal, February 2019

A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks journal, August 2018

Sequence Planning for Selective Disassembly Aiming at Reducing Energy Consumption Using a Constraints Relation Graph and Improved Ant Colony Optimization Algorithm
journal, August 2018

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges
journal, February 2019

A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks
journal, August 2018