A method and system for predicting dynamic traffic flow pressure in parking lots

Abstract

This invention provides a dynamic traffic flow pressure prediction method and system for parking lots, applicable to the field of internet data processing. Starting with real-time acquisition of vehicle information at the entrance, this invention gradually constructs a dynamic traffic flow network map within the parking lot. By activating a pressure sensing mechanism at the channel level, it achieves real-time monitoring and precise perception of traffic flow in local areas. Compared to traditional methods that rely solely on entrance and exit counts, this solution can capture micro-flow characteristics such as local density, throughput, and queue growth rate of specific nodes within the parking lot. Combined with real-time pressure growth rate judgment, it promptly identifies potential congestion nodes. Through the identification of adjacent areas and the dynamic implementation of diversion strategies, it achieves localized diversion and proactive intervention before congestion occurs, effectively preventing congestion spread and secondary blockages.

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