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6 May 2022 Development and application of highway traffic safety hazard system based on big data
Hongxiao Wang, Qiang Li
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Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122561U (2022) https://doi.org/10.1117/12.2635488
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
On the basis of traditional hidden danger management, the system adopts WebGIS and Baidu API organic integration technology to achieve accurate management of hidden danger. Based on traffic information analysis of huge amounts of data in the cloud resource platform sorting, find out the relevance, and to analyze hidden danger and accident related factors, explore the development trend, and hazard warning there will be a valuable data pushed to Scott, Baidu navigation service, give full play to the function of hazard warning role, play a dual role of the prevention of accidents and service people. The scientific leapfrog development of "Internet + hidden trouble investigation and rectification" has been realized. The development and application of the system, on the one hand, effectively solve the hidden perils and regulation between technical barriers, by changing the traditional hidden perils in road traffic safety management mode, greatly convenient screening governance concerns, the grassroots police broke the limitation of the public security network "confidential", implements the linkage effect of work, should outside threats. On the other hand, the investigation and management of hidden dangers, social cooperation and joint treatment, early warning and emergency rescue at accident hotspots should be organically combined to highlight the social benefits. At present, the system has realized the regular work about hidden danger information management, data sharing, joint review and co-governance.
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Hongxiao Wang and Qiang Li "Development and application of highway traffic safety hazard system based on big data", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122561U (6 May 2022); https://doi.org/10.1117/12.2635488
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KEYWORDS
Roads
Safety
Data hiding
Statistical analysis
Computer security
Geographic information systems
Internet
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