About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Mobile Wireless Middleware, Operating Systems and Applications. 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings

Research Article

The Spatiotemporal Traffic Accident Risk Analysis in Urban Traffic Network

Download(Requires a free EAI acccount)
2 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-62205-3_8,
        author={Chijun Zhang and Jing jin and Qiuyang Huang and Zhanwei Du and Zhilu Yuan and Shengjun Tang and Yang Liu},
        title={The Spatiotemporal Traffic Accident Risk Analysis in Urban Traffic Network},
        proceedings={Mobile Wireless Middleware, Operating Systems and Applications. 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings},
        proceedings_a={MOBILWARE},
        year={2020},
        month={11},
        keywords={Traffic accident Urban traffic network Risk analysis},
        doi={10.1007/978-3-030-62205-3_8}
    }
    
  • Chijun Zhang
    Jing jin
    Qiuyang Huang
    Zhanwei Du
    Zhilu Yuan
    Shengjun Tang
    Yang Liu
    Year: 2020
    The Spatiotemporal Traffic Accident Risk Analysis in Urban Traffic Network
    MOBILWARE
    Springer
    DOI: 10.1007/978-3-030-62205-3_8
Chijun Zhang1, Jing jin1, Qiuyang Huang2,*, Zhanwei Du3, Zhilu Yuan4, Shengjun Tang4, Yang Liu1
  • 1: School of Management Science and Information Engineering, Jilin University of Finance and Economics
  • 2: College of Computer Science and Technology, Jilin University
  • 3: Jilin Province Key Laboratory of Fintech, Jilin University of Finance and Economics
  • 4: Research Institute for Smart Cities and Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, School of Architecture and Urban Planning
*Contact email: huangqy17@mails.jlu.edu.cn

Abstract

Traffic accidents seriously threaten people’s lives and property all over the world. Therefore, it is of great significance to human society to have a long-term traffic accidents data with detail temporal and geographic information in a specific space, which can be used for traffic accident hotspots identification to reduce the incidence of traffic accidents. Here, we obtain a one-year dataset of traffic accidents of the city center in Changchun, Northeast China, in 2017. In this paper, we analyze the risk of traffic accident in urban area, and then discover the characteristics of traffic accidents at the temporal and spatial aspect. We construct a traffic network, which takes crossings as nodes and road sections as edges and weighted by the total number of traffic accidents. In addition, we integrate road structure data and meteorological data to explore the characteristics of the traffic network.

Keywords
Traffic accident Urban traffic network Risk analysis
Published
2020-11-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-62205-3_8
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL