Cooperative Intelligent Transport Systems: Choreography-Based Urban Traffic Coordination

Autili, Marco; Chen, Lei; Englund, Cristofer; Pompilio, Claudio; Tivoli, Massimo

doi:10.1109/tits.2021.3059394

Cited by 37 publications

(12 citation statements)

References 27 publications

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“…The literature [13] researched and developed a new energy estimation framework for calculating energy consumption in the product life cycle and various production processes, which can be extended to different logistics domains and customized for users. Literature [14] developed a new energy estimation framework for calculating energy consumption in the product life cycle and various logistics processes and proposed a requirement for a computational framework for evaluating energy consumption for full product life cycle integration with CAD/CAM systems.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

Zhang¹,

Li²,

Tan³

et al. 2022

Journal of Sensors

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With the upgrading of logistics demand and the innovation of modern information technology, the smart logistics platform integrates advanced concepts, technologies, and management methods, maximizes the integration of logistics resources and circulation channels, and effectively improves the efficiency of logistics transactions, but its energy consumption problem is particularly prominent. The study of intelligent measurement and monitoring of carbon emissions in smart logistics is of great value to reduce energy consumption, reduce carbon emissions in buildings, and improve the environment. In this paper, by comparing and analyzing the accounting standards of carbon emissions and their calculation methods, the carbon emission factor method is selected as the method to study the carbon emissions of the smart logistics process in this paper. The working principle of each key storage technology in the smart logistics process is analyzed to find out the equipment factors affecting the carbon emission of each storage technology in the smart logistics process, and the carbon emission calculation model of each key storage technology is established separately by using the carbon emission factor method. Meanwhile, according to the development history of energy consumption assessment, the assessment process of different stages from logistics storage energy consumption assessment to smart logistics energy consumption assessment is analyzed, and based on this, a carbon emission energy consumption assessment framework based on 5G shared smart logistics is constructed. This paper applies the supply chain idea to define the smart logistics supply chain, constructs a conceptual model of the smart logistics supply chain considering carbon emissions, and at the same time combines the characteristics of the smart logistics supply chain to analyze the correlation between the carbon emissions of the smart logistics supply chain and the related social, environmental, and economic systems.

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Section: Related Workmentioning

confidence: 99%

Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

Zhang¹,

Li²,

Tan³

et al. 2022

Journal of Sensors

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“…Human motion analysis is an important content in computer vision research, and it is also a frontier content that computer researchers pay attention to [6]. Simulating the movements of real performers requires data support.…”

Section: Human Body Motion Posture Analysis Based On Feature Vector M...mentioning

confidence: 99%

3D Mathematical Modeling Technology in Visualized Aerobics Dance Rehearsal System

Zheng

2022

Applied Mathematics and Nonlinear Sciences

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Visualization software provides powerful numerical calculations for the 3D mathematical modeling process. This paper uses optical motion capture mathematical modeling technology to track and detect dancers' dance movements in segments in real-time. The research results found that the visual dance choreography system proposed in the article improves the efficiency of posture analysis and real-time analysis improves the quality of teaching. This has played an important role in the digital teaching of dance movements and the development of science.

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“…According to [40][41][42][43][44][45], many new challenges will be possible to enhance the QoS and EE through efficient, intelligent techniques integrated within the proposed framework. These enhancements will certainly improve future ITS and C-ITS.…”

Section: Challengesmentioning

confidence: 99%

Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G

Algarni

Thayananthan

2021

Electronics

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The transportation industries forecast that by 2050 more than 50% of vehicles on the road will be autonomous vehicles, and automotive services will dynamically support all vehicles. All of them will be serviced using the latest technology, which includes the Software Defined Network (SDN) and available new generations (5G+ or 6G) at the time. Although many transportation services and rapid facilities are achievable dynamically, transportation services with automation and intelligent actions are still not mature because the legacy of transport services cannot be corporate with the 5G+. These expected problems can be improved through the following possible and manageable approaches: flexible framework of 5G automotive services from the legacy systems, designing energy-efficient and intelligent infrastructures with SDN, and managing security solutions that evolve with the emerging technology. An efficient model (flexible framework) is proposed to secure smart transportation services with a secure and intelligent connected system and security solutions based on the 5G concept. Although 5G is considered in this framework, the method and steps of design and solution phases will be adaptable to the 5G+ framework. Furthermore, the basic properties of SDN allowed us to design a novel approach for measuring data traffic related to transport services and transport management, such as the priority of the transportation services. With the emergence of 5G+ capabilities, transportation services expect more challenges through future user requirements, including dynamic security solutions, minimum latency, maximum energy efficiency (EE), etc. Future automotive services depend on many sensors and their messages received through secure communication systems with 5G+ capabilities. As a result, this theoretical model will prove that 5G capabilities provide security facilities, better latency, and EE within the transportation system. Moreover, this model can be extendable to improve the 5G+ transportation services.

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Cooperative Intelligent Transport Systems: Choreography-Based Urban Traffic Coordination

Cited by 37 publications

References 27 publications

Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

3D Mathematical Modeling Technology in Visualized Aerobics Dance Rehearsal System

Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G

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