Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)

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Design and Implementation of Traffic Big Data Super Correlation System

Authors
Yan Yupeng1, 2, Ke Jiang1, *, Cheng Jianpeng2
1Beijing Institute of Technology, Beijing, China
2China Changfeng Science Technology Industry Group Corp, Beijing, China
*Corresponding author. Email: alston.hi@163.com
Corresponding Author
Ke Jiang
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-417-4_27How to use a DOI?
Keywords
Knowledge Graph; Big Data; Traffic Management; Neo4J
Abstract

In order to make full use of traffic big data resources and meet the comprehensive management needs of traffic management departments for traffic congestion, accidents and violations, a traffic big data super correlation system based on Knowledge Graph is designed and implemented. The system is based on business data such as people, vehicles, roads, enterprises, accidents, and violations, and uses Neo4J, MPP, and ES as data storage and search engines. By building 19 relationship models of 6 types of entities, the access storage and retrieval analysis of big data are realized. After deployment and testing, the system meets business requirements in terms of functions; in terms of performance, the overall data volume reaches a scale of 100 million, and the search response time meets performance requirements. It can provide traffic management agencies with a variety of practical application services with accurate results and comprehensive analysis.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Series
Advances in Intelligent Systems Research
Publication Date
7 May 2024
ISBN
978-94-6463-417-4
ISSN
1951-6851
DOI
10.2991/978-94-6463-417-4_27How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yan Yupeng
AU  - Ke Jiang
AU  - Cheng Jianpeng
PY  - 2024
DA  - 2024/05/07
TI  - Design and Implementation of Traffic Big Data Super Correlation System
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 295
EP  - 305
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_27
DO  - 10.2991/978-94-6463-417-4_27
ID  - Yupeng2024
ER  -