Road traffic potential safety hazard information management system based on big data background

Abstract

The invention provides a road traffic potential safety hazard information management system based on a big data background, wherein auxiliary decision-making comprises a potential hazard announcement module, a potential hazard work comprehensive management module, a system setting module and a basic data management module, the potential hazard announcement module mainly aims at enterprises and vehicles in road traffic potential hazard management, and make each team eliminate corresponding potential hazards in time by through an announcement, the potential hazard work comprehensive management module mainly comprises potential hazard learning, potential hazard work dynamics, potential hazard managers and architecture diagrams, the system setting module mainly refers to user permission setting and organization setting and aims to clarify responsibilities and permissions of organizations at all levels, and the basic data management module mainly refers to modification, deletion and addition of road names. According to the invention, through potential hazard learning in an auxiliary function, traffic policemen can understand a method for dividing, classifying, investigating and analyzing traffic accident-prone points and sections and a method for identifying potential hazards of roads with different linear shapes, and a scientific theoretical basis is provided for better carrying out potential hazard investigation and treatment.

Description

technical field [0001] The invention relates to the technical field of road traffic, in particular to a road traffic safety hazard information management system based on the background of big data. Background technique [0002] In recent years, with the country's increasing investment in road network construction, the road coverage rate has increased significantly, resulting in increasingly prominent contradictions between vehicle flow, people flow, and the current traffic environment, which puts forward new requirements for the prevention of road traffic accidents. How to prevent And reducing the occurrence of traffic accidents, ensuring the safety of people's lives and property has brought new challenges to the traffic control department. In order to effectively strengthen the prevention of road traffic accidents, the municipal traffic management detachment independently developed the information management system for hidden dangers in road traffic safety (referred to as t...

AI Technical Summary

Problems solved by technology

[0005] In terms of traditional hidden danger investigation, there are unscientific and unreasonable identification, irregular and inaccurate determination, long hidden danger investigation cycle, waste of time, low value of collected data, and low overall operation efficiency. In terms of traditional hidden danger management, it presents a passive , static and isolated, hidden danger governance is often difficult to track and promote, and collaborative governance is not active

This makes the "hidden" hidden dangers of road traffic safety like "time bombs" that may detonate at any time. missing, statistical analysis is inaccurate, dynamic tracking and supervision are not in place, and it is difficult to coordinate and promote rectification, which is not conducive to all-round high-level service to the people. At present, the overall situation of road traffic safety in a city is good, but with the number of motor vehicles The mileage is increasing year by year, and road traffic safety is bound to face new challenges. Under the traditional management mode of road traffic safety hazards, safety hazards cannot be effectively controlled and resolved, which will cause disasters for the city and even the region's road traffic safety hazards. , may lead to the occurrence of larger road traffic accidents at any time;

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