The invention provides a waterside road section discrimination method and a road traffic potential safety hazard troubleshooting method, and belongs to the technical field of road safety. The potential safety hazard checking method comprises the steps of constructing a waterside road section road traffic potential safety hazard checking knowledge system, establishing standardized data acquisition, completing systematic stake mark calibration, achieving waterside road section intelligent identification, innovating the waterside road section road traffic potential safety hazard standardized checking method, and improving the waterside road section road traffic potential safety hazard checking efficiency. And forming a road traffic potential safety hazard checking conclusion of the waterside road section and the like. According to the knowledge system for troubleshooting the road traffic potential safety hazards of the waterside road section, on the basis of data collection, through data collection of front-end intelligent equipment, systematic road section cleaning and stake mark calibration, intelligent recognition of the waterside road section is completed, visual troubleshooting is carried out according to images and data, and the system is high in practicability. The road traffic potential safety hazard checking of the waterside road section is carried out from different aspects of traffic signs, traffic marking lines, safety facilities, traffic organizations, roadside net areas and the like, and a potential safety hazard checking result is generated.
本发明提供一种临水路段的判别方法以及道路交通安全隐患排查方法,属于道路安全技术领域。所述的安全隐患排查方法包括构建临水路段道路交通安全隐患排查知识体系、建立标准化数据采集、完成系统性的桩号标定、实现临水路段智能化识别、创新临水路段道路交通安全隐患标准化排查方法、形成临水路段道路交通安全隐患排查结论等步骤。本发明的临水路段道路交通安全隐患排查知识体系,基于资料收集,通过前端智能化设备采集数据,系统性的路段清洗和桩号标定,完成临水路段智能化识别,依据图像和数据进行可视化排查,从交通标志、交通标线、安全设施、交通组织、路侧净区等不同方面进行临水路段的道路交通安全隐患排查,生成隐患排查结果。
Distinguishing method of waterside road section and road traffic potential safety hazard checking method
一种临水路段的判别方法以及道路交通安全隐患排查方法
2023-02-03
Patent
Electronic Resource
Chinese
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