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Research on the Construction of a Knowledge Graph and Knowledge Reasoning Model in the Field of Urban Traffic

Author

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  • Jiyuan Tan

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

  • Qianqian Qiu

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

  • Weiwei Guo

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

  • Tingshuai Li

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

Abstract

The integration of multi-source transportation data is complex and insufficient in most of the big cities, which made it difficult for researchers to conduct in-depth data mining to improve the policy or the management. In order to solve this problem, a top-down approach is used to construct a knowledge graph of urban traffic system in this paper. First, the model layer of the knowledge graph was used to realize the reuse and sharing of knowledge. Furthermore, the model layer then was stored in the graph database Neo4j. Second, the representation learning based knowledge reasoning model was adopted to implement knowledge completion and improve the knowledge graph. Finally, the proposed method was validated with an urban traffic data set and the results showed that the model could be used to mine the implicit relationship between traffic entities and discover traffic knowledge effectively.

Suggested Citation

  • Jiyuan Tan & Qianqian Qiu & Weiwei Guo & Tingshuai Li, 2021. "Research on the Construction of a Knowledge Graph and Knowledge Reasoning Model in the Field of Urban Traffic," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3191-:d:516959
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    References listed on IDEAS

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    1. Qi Zhang & Yuanqiao Wen & Chunhui Zhou & Hai Long & Dong Han & Fan Zhang & Changshi Xiao, 2019. "Construction of Knowledge Graphs for Maritime Dangerous Goods," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
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    Cited by:

    1. Qi He & Chenyang Yu & Wei Song & Xiaoyi Jiang & Lili Song & Jian Wang, 2023. "ISLKG: The Construction of Island Knowledge Graph and Knowledge Reasoning," Sustainability, MDPI, vol. 15(17), pages 1-26, September.

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