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Edge Computing and IoT: Systems, Management and Security. Second EAI International Conference, ICECI 2021, Virtual Event, December 22–23, 2021, Proceedings

Research Article

Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data

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  • @INPROCEEDINGS{10.1007/978-3-031-04231-7_3,
        author={Wenjie Chen and Xiaogang Wu and Zhu Xiao},
        title={Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data},
        proceedings={Edge Computing and IoT: Systems, Management and Security. Second EAI International Conference, ICECI 2021, Virtual Event, December 22--23, 2021, Proceedings},
        proceedings_a={ICECI},
        year={2022},
        month={5},
        keywords={Green transition Carbon trading Carbon emission prediction Carbon quota allocation},
        doi={10.1007/978-3-031-04231-7_3}
    }
    
  • Wenjie Chen
    Xiaogang Wu
    Zhu Xiao
    Year: 2022
    Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data
    ICECI
    Springer
    DOI: 10.1007/978-3-031-04231-7_3
Wenjie Chen1, Xiaogang Wu1,*, Zhu Xiao2
  • 1: Business College, Central South University of Forestry and Technology
  • 2: College of Computer Science and Electronic Engineering, Hunan University
*Contact email: Xiaogang121488@163.com

Abstract

As the fastest growing source of carbon emissions in the world, road traffic must carry out green transformation in order to achieve carbon neutrality, it is one of the feasible ways to establish private car carbon trading market and carry out personal carbon trade. Based on the big data of urban vehicle trajectory, this paper uses BP neural network to predict the carbon emissions of urban vehicles. Next, the total carbon emission cap is set by combining the predicted amount with the emission reduction, and the carbon consumers of private cars will be equally distributed free of charge based on the total emissions quota. In addition, this paper introduces block chain technology into the carbon trading system and designs a main-side block chain architecture to isolate the data business and financial business of carbon trade. Next, this paper establishes a transaction matching strategy to maximize the overall benefit. Finally, this paper verifies the proposed carbon-trading mechanism for private car through simulation design, and the results show that carbon-trading mechanism for private cars driven by green transition designed in this paper is feasible. It can play a certain role in emission reduction and market guidance.

Keywords
Green transition Carbon trading Carbon emission prediction Carbon quota allocation
Published
2022-05-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-04231-7_3
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