Cloud Computing-Based Analyses to Predict Vehicle Driving Shockwave for Active Safe Driving in Intelligent Transportation System

Chang, Ben-Jye; Chiou, Jhih-Ming

doi:10.1109/tits.2019.2902529

Cited by 36 publications

(16 citation statements)

References 37 publications

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“…Clustering techniques [84] [85] [113] Relaying through the Uu interface [84] [85] [113] Edge processing strategies [127] [122] [134] Demonstration/analysis of specific applications [114] [118] [127] [122] [134] Table 19 Examples of specific applications analyzed on surveyed papers, RSU-relayed messages.…”

Section: Contributions Related Papersmentioning

confidence: 99%

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

Soto

Calderón

Amador

et al. 2022

Vehicular Communications

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Section: Contributions Related Papersmentioning

confidence: 99%

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

Soto

Calderón

Amador

et al. 2022

Vehicular Communications

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“…With the development of the sensor technique, control technique, and big data technique, the cloud control technique is attracting increasing research focus in wide applications in recent years. 56–58 Actually, the cloud-based dynamics control is necessary for the UGV because of the following reasons: (1) The UGVs are supposed to conduct the certain missions to replace humans in various applications. However, some missions may need the collaboration of numbers of UGV.…”

Section: Cloud-based Dynamics Control Of the Ugvmentioning

confidence: 99%

A review for design and dynamics control of unmanned ground vehicle

Chen

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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The unmanned ground vehicle is supposed to replace humans for various applications in both civilian and military area, including transport, delivery, shuttle, clean, patrol, scout, and battle. It has been widely expected that the unmanned ground vehicle will greatly change the human life and the land combat form in the near future. The key techniques of the unmanned ground vehicle are environment perception, motion planning, chassis dynamics control, and cloud control. In this paper, the state of the art of the development of the military and civilian unmanned ground vehicle is introduced, and many classic ones are reviewed in detail in different application categories. The overall design and X-by-wire dynamics control technique of the civilian and military unmanned ground vehicle are reviewed. The X-by-wire technique plays an important role in improving the maneuverability, mobility, and handling performance of the unmanned ground vehicle. Therefore, the chassis dynamics control is considered as a core technique of the X-by-wire unmanned ground vehicle. In addition, as a research trend of the unmanned ground vehicle dynamics control, the cloud-based dynamics control approach of future unmanned ground vehicle based on big data and cloud control techniques is described according to the authors’ work.

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“…With the help of the IoV network, periodical messages about the vehicle's information and notifications of possible emergencies can also be generated, such as traffic jams, dangerous road conditions, or accidents [17] .…”

Section: Safe Drivingmentioning

confidence: 99%

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Luo

et al. 2020

Intell. and Converged Netw.

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Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms. Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content. In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in the IoV.

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Cloud Computing-Based Analyses to Predict Vehicle Driving Shockwave for Active Safe Driving in Intelligent Transportation System

Cited by 36 publications

References 37 publications

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

A review for design and dynamics control of unmanned ground vehicle

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

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