A vehicle-based traffic flow monitoring system based on dual-audio signal acquisition

Abstract

The invention provides a model-based traffic flow monitoring system based on dual audio signal acquisition. The system comprises an audio signal acquisition system, an audio signal processing module, a model identification module and a flow statistical module. The realization process of the system is as follows: noise is generated when vehicle drives to a monitoring point, and the signal acquisition module acquire audio signals by use of a microphone; the signal processing module determines arrival of the vehicle through screening effective peaks of the signals, and when the vehicle passes by, determining a vehicle flow direction and extracting features of the signals; through extracted feature data, the model identification module finishes automatic identification classification of the model of the vehicle currently passing by; and the flow statistical module counting model-based and flow-based traffic flow and outputting results. The system provided by the invention has the advantages of low cost, easy data storage, high identification precision, round-the-clock work and the like, thereby being applied to such fields as intelligent traffic management and the like.

Description

technical field [0001] The invention relates to the field of intelligent traffic management, and more specifically, relates to a traffic flow monitoring system based on dual audio signal collection and vehicle type classification. Background technique [0002] The collection of road traffic flow information, especially the acquisition of vehicle number, vehicle flow direction and vehicle type is an important content in the field of intelligent transportation, which can provide basic data for traffic management and control. Road traffic flow monitoring and statistics play an important role in improving the guidance and management efficiency of urban traffic flow. It can not only provide timely reference for traffic management departments and optimize management effects, but also provide travel reference for road traffic users and improve travel efficiency. efficiency. [0003] At present, there are many technologies and methods for traffic flow monitoring and statistics, suc...

AI Technical Summary

Problems solved by technology

However, other detection methods have their inherent disadvantages: image processing and recognition are expensive and sensitive to light changes; infrared detection methods are severely limited by weather; Identification of car models; limited installation conditions of ultrasonic testing devices, etc.

Both of these two patents use the vehicle itself and the audio signal generated by the friction between the vehicle and the road as the processing object. Such audio signal changes are not obvious, and it is difficult to effectively judge the arrival of the vehicle and the direction of the vehicle flow. increases, the recognition accuracy drops seriously

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