Web Crawler Based Study on Traffic Accident Data Acquisition for Operating Tunnels

With constant development of tunnels, traffic accidents in the tunnels continue to rise. To control and manage tunnels and reduce traffic accidents. Based on Web crawler technology, this paper, based on Web crawler technology, covers research on traffic accident information characteristics for opera...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-01, Vol.741 (1), p.12070
Main Authors: Liao, Zhipeng, Ding, Hao, Xia, Yangyuyu, Ma, Fei
Format: Article
Language:English
Subjects:
Accident data
Feature extraction
Traffic accidents
Traffic control
Traffic information
Traffic management
Tunnels
Websites
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Summary:With constant development of tunnels, traffic accidents in the tunnels continue to rise. To control and manage tunnels and reduce traffic accidents. Based on Web crawler technology, this paper, based on Web crawler technology, covers research on traffic accident information characteristics for operating tunnels and Web crawler mechanism to establish a PySpider-based Web platform for real-time acquisition of traffic accident data for operating tunnels. This platform can fetch valid traffic accident data URL for operating tunnels from designated websites and to extract, analyze and store traffic accident feature data, thereby managing and controlling traffic risks existing in an operating tunnel, reducing traffic accidents and safeguarding people's properties.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/741/1/012070