Traffic weather forecast and early warning method and system based on meso-scale /micro-scale weather forecast data, road network data and road network meteorological sensing data

Abstract

The invention discloses a traffic weather forecast and early warning system based on meso-scale / micro-scale weather forecast data, road network data and road network meteorological sensing data. The system comprises a data acquisition layer, a platform service layer, an application service layer and a terminal presentation layer. The system is complete in collected data, wherein the data not only comprises weather Information, but also comprises various traffic information in a road network system; through matching calculation of an integrated algorithm of the three kinds of data of the meso-scale / micro-scale weather forecast data, the road network data and the road network meteorological sensing data, a user can search conditions of each specific road in the road network system, and forecast is accurate; the advanced platform service layer is adopted to carry out data processing and management, and the advanced application service layer is adopted to provide external services; the system can provide forecast and early warning services, so that a road network management department can make various road passage plans according to early warning information, and a common user can reasonably plan his / her trip according to the forecast information; and through cooperation of a road network automatic disposal system, the system realizes security linkage, and improves road passage safety.

Description

technical field [0001] The invention relates to the technical field of traffic weather comprehensive forecasting, in particular to a traffic weather forecasting and early warning system based on small and medium scale meteorological data, road network data and road network weather sensor data. Background technique [0002] The rapid development of social economy has led to the continuous increase of traffic demand, and the problem of traffic safety cannot be underestimated. As one of the important factors affecting traffic safety, the weather factor must be paid attention to. As of the end of 2016, the total mileage of expressways in my country has reached 131,000 kilometers, ranking first in the world, and high-speed railways have exceeded 22,000 kilometers. However, the coverage and accuracy of road network weather forecasts in my country are relatively slow. According to the statistics of the National Bureau of Statistics, the total number of traffic accidents in 2014 wa...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing professional traffic weather forecasting system is only based on forecasting and cannot provide accurate weather conditions in the road network system. At the same time, the lack of road network weather data is also the reason for the slow development of traffic weather services.

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