A Visual Analytics of Urban Traffic Events Using Social Media Data

Authors

Xiangping Wu, 1.College of Information Engineering, China Jiliang University, Hangzhou 310018, China;2.Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou 310018, China;Follow
Lijun Ping, 1.College of Information Engineering, China Jiliang University, Hangzhou 310018, China;
Dongshi Xu, 1.College of Information Engineering, China Jiliang University, Hangzhou 310018, China;

Abstract

Abstract: Traffic text data in social media can supplement traffic flow information, for which a visual analysis method for traffic events is proposed. A text processing model is designed to process the social media data and extract the description information of traffic event. The vector representation of road node attributes is learned based on graph embedding algorithm, and a road similarity model is estbalished. A prediction model of the traffic event is built based on the road similarity and the kernel density model. An interactive visual analysis system is designed to carry out visual analysis. Though traffic information extraction, road similarity measurement and traffic event interaction prediction, the effectiveness of the proposed method is verified and can assist traffic department management decisions.

Recommended Citation

Wu, Xiangping; Ping, Lijun; and Xu, Dongshi (2022) "A Visual Analytics of Urban Traffic Events Using Social Media Data," Journal of System Simulation: Vol. 34: Iss. 5, Article 20.
DOI: 10.16182/j.issn1004731x.joss.20-0962
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss5/20

First Page

1140

Revised Date

2021-01-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0962

Last Page

1151

CLC

TP391.9

Recommended Citation

Xiangping Wu, Lijun Ping, Dongshi Xu. A Visual Analytics of Urban Traffic Events Using Social Media Data[J]. Journal of System Simulation, 2022, 34(5): 1140-1151.

DOI

10.16182/j.issn1004731x.joss.20-0962