A multi-source fusion traffic demand flow rate evaluation method, system, medium and product

Abstract

A multi-source fusion traffic demand flow rate assessment method, system, medium and product relate to the field of intelligent transportation. By adopting the above technical solution, the multi-source fusion traffic demand flow rate assessment system integrates three data sources: fixed detector data at intersections, data from intelligent network sampling vehicles, and signal light control operation data. It calculates the demand flow rate and determines the demand flow rate confidence level from four dimensions: road speed, number of signal control stops, actual flow rate, and vehicles in the green initial queue. This effectively solves the problem of inaccurate assessment of traffic demand flow rate from a single data source. Through this multi-source fusion approach, the road section's traffic capacity reflected by the road section's speed is taken into account, the degree of traffic obstruction reflected by the number of signal control stops is incorporated, and the actual demand backlog reflected by vehicles in the green initial queue is also included, thereby enabling a comprehensive and accurate assessment of the traffic demand flow rate.

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