A Comprehensive Maintenance System of Urban Roads Based on Online Prediction

Abstract

The invention provides a comprehensive maintenance system for urban roads based on online prediction, which includes two parts: a road maintenance vehicle vehicle-mounted client and a road calculation and early warning server. During maintenance, send target section information and maintenance instructions, the GPRS module of the road maintenance vehicle on-board client receives the instructions and locates the vehicle position and the location of the target section according to the GPS module, and the road maintenance vehicle completes the road maintenance of the target section according to the maintenance instructions. The beneficial effects of the present invention are: through random capture and multi-dimensional measurement of urban roads, the measured road condition information is denoised and filtered, the real-time road condition of the target road section is obtained, the predicted road condition of the target road section is predicted, and road maintenance is made. The instruction realizes the detection and prediction of urban road conditions, prevents the occurrence of large-scale accidents on urban roads, and protects the safety of citizens' lives and property.

Description

technical field [0001] The invention relates to the field of urban municipal management, in particular to an online prediction-based comprehensive maintenance system for urban roads. Background technique [0002] In recent years, with the development of cities and the increase in the demand for motorized travel, the number of private cars and public transport vehicles has increased sharply. Urban roads, as the infrastructure for the operation of the entire city, bear extremely important responsibilities. Vehicles passing on urban roads Types, quantities, and traffic conditions are all important factors that affect the maintenance of urban road conditions. Moreover, land subsidence occurs from time to time on urban roads, which poses a greater threat to the safety of citizens' lives and property. At present, the detection of urban road conditions mainly relies on manpower on-the-spot observation. Only when there are serious road condition problems will they be discovered and ...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the development of cities and the increase in the demand for motorized travel, the number of private cars and public transport vehicles has increased sharply. Urban roads, as the infrastructure for the operation of the entire city, bear extremely important responsibilities. Vehicles passing on urban roads Types, quantities, and traffic conditions are all important factors that affect the maintenance of urban road conditions. Moreover, land subsidence occurs from time to time on urban roads, which poses a greater threat to the safety of citizens' lives and property. At present, the detection of urban road conditions mainly relies on manpower on-the-spot observation. Only when there are serious road condition problems will they be discovered and maintained. At this time, the traffic conditions of urban roads have already been affected to a certain extent. Technology to predict urban road conditions and make road maintenance instructions to prevent large-scale accidents on urban road conditions

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