Road transport safety multi-source data fusion intelligent disposal and early warning method

Abstract

This invention discloses a multi-source data fusion intelligent processing and early warning method for road transport safety, relating to the field of safety early warning technology. It addresses problems that easily lead to continuous sudden braking, vehicle instability, and secondary traffic accidents. The method calculates the longitudinal deceleration of a target vehicle by detecting its wheel speed pulse signals and marks the coordinates of the disturbance source. A diffusion analysis region is constructed using these coordinates, identifying the vehicle under test and sending a braking warning signal. Simultaneously, it combines braking duration acquired from roadside radar, vehicle passage time at the ETC gantry, and road slope information to dynamically correct the disturbance propagation trend, generating a longitudinal traffic flow compression wave. Road segment flow control is implemented based on this longitudinal traffic flow compression wave, and lateral diffusion characteristics are analyzed by combining the number of lateral lane changes. When traffic disturbance evolves into a lateral-longitudinal coupled diffusion, the variable lane indicator signs are changed to reduce the risk of vehicle instability.

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