Urban traffic situation awareness method and early warning system based on big data

Abstract

The invention discloses an urban traffic situation awareness method and an early warning system based on big data. The system mainly comprises a detection unit, an alarm unit, a control unit, a cloudservice platform, an information transmission unit, a Beidou positioning service unit, a data storage unit, and a calculation unit. The detection unit is suitable for carrying out real-time, comprehensive and systematic detection and perception on the condition of each road line of a city through a plurality of detection modules. According to the urban traffic situation awareness method and earlywarning system based on big data, through the cooperation of the arranged cloud service platform and the detection unit, the detection unit collects data of parking spaces, smoke, vehicle flow, pedestrian flow, fleet length, vehicle speed, lane occupation, vehicle distance and driving time which influence urban road traffic through big data, and performs weighted averaging in combination with basic conditions of roads to obtain a traffic situation of a current urban whole road section. In this way, the overall situation of urban traffic can be accurately reflected.

Description

technical field [0001] The invention relates to the field of big data, in particular to the field of an urban traffic situation awareness method and an early warning system based on big data. Background technique [0002] As we all know, the existing urban traffic is relatively congested. In order to solve the relatively congested problem of existing urban traffic, many people have thought of alleviating the comparatively congested urban traffic situation by changing the waiting time of traffic lights. [0003] For example, the existing Chinese patent No. CN100595809C discloses a novel intelligent traffic light control system, which is mainly composed of a camera module, a recognizer, a server and a traffic light controller cascaded in sequence, and the recognizer includes a vehicle detection module, flow rate Detection module, vehicle capture module, vehicle license plate recognition module and vehicle model recognition module; the recognizer uses video virtual coil technol...

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Problems solved by technology

[0005] The main purpose of the present invention is to provide an urban traffic situation awareness method and early warning system based on big data, which can effectively solve the problems in the background technology: there are various factors affecting urban traffic congestion, how to take each influencing factor into consideration In place is a problem. Secondly, solving the problem of road congestion cannot be solved only by adjusting the time of traffic lights in real time. In case of emergency, it still needs to be solved by multiple departments such as drivers, traffic control departments, medical departments, and fire departments. How to quickly make drivers, It is an urgent problem that the traffic control department, medical department and fire department can quickly and real-time understand the situation of urban roads and quickly solve emergency situations

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