Vehicle traffic state self-sensing early warning system and method based on piezoelectric pavement

Abstract

The invention discloses a vehicle traffic state self-sensing early warning system and method based on a piezoelectric pavement. The early warning system comprises a piezoelectric pavement sensing terminal, a vehicle-mounted terminal, a roadside terminal, an image acquisition terminal, a data processing terminal and a traffic police law enforcement terminal, wherein the piezoelectric pavement sensing terminal, the vehicle-mounted terminal and the image acquisition terminal are in communication connection with the roadside terminal, and the roadside terminal is in communication connection with the traffic police law enforcement terminal through the data processing terminal. The early warning system is advantaged in that abnormal behaviors of a vehicle can be self-sensed through the piezoelectric pavement, the abnormal behaviors comprise vehicle overload, vehicle overspeed, vehicle overrun, vehicle abnormal driving, road congestion conditions and vehicle unbalance loading, signals are transmitted to the data processing terminal and the vehicle-mounted terminal, and a driver is reminded to eliminate related abnormal behaviors through the traffic police law enforcement terminal and thevehicle-mounted terminal. The system can effectively give an early warning, a corresponding feedback mechanism is formed, traffic driving safety and smoothness are ensured, and the development direction of an intelligent road surface is met.

Description

technical field [0001] The invention relates to the field of vehicle traffic state perception early warning, in particular to design a vehicle traffic state self-perception early warning system and method based on a piezoelectric surface. Background technique [0002] Road congestion has seriously plagued the rapid urbanization process, and frequent traffic accidents have seriously threatened people's lives. "Nine out of ten accidents are fast", speeding will affect the safety performance of the vehicle, affect the driver's timely and accurate operation, increase the driver's fatigue, cause the driver's judgment on speed to decrease, and the speed of the vehicle will prolong the braking distance , may cause serious traffic accidents. In addition, according to statistics, more than 80% of the road traffic accidents of heavy-duty trucks are caused by over-limit and overloaded transportation. High-frequency and large-tonnage vehicle loads greatly exceed the design load standa...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of untimely vehicle traffic state monitoring and early warning and imperfect system, the present invention provides a vehicle traf

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