Abstract
In view of the current situation that the urban vehicle intersection monitoring management is still in the use of manual identification management and the existing system cannot fully meet the application requirements, this paper designs and develops a set of urban vehicle intersection monitoring system based on the use of big data technology to process the video monitoring data of each checkpoint in the city, and obtain the vehicle information, driving path and other high-value data. Finally, the data processing results are presented with multi-dimensional visualization chart to provide information resources for vehicle monitoring and management. The system provides accurate information for social service management departments to master the activities of the parties and vehicles, and track down the vehicles causing accidents.
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Liu, Q. (2021). Intelligent Monitoring System of Urban Vehicle Intersection Based on Big Data. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_82
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DOI: https://doi.org/10.1007/978-3-030-70042-3_82
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Online ISBN: 978-3-030-70042-3
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