多维数据融合的道路交通流实时监测关键技术研究

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中图分类号：TP391.9 文献标识码：A 文章编号：2096-4706（2025）17-0124-08

Abstract：Byintegrating bayonet monitoringdata，floatingcar GPSdataand Internettraffcdata，this paper constructs a multi-dimensional traffcfowanalysis framework，and independentlydevelopsaspatial nine-gridsegmentationalgorithmto solvetheproblofaivedatamatcingiencyReal-tecalulatinoftraffcrameters（foweed，sity）ic heatanalysisofroad networkandtrafficsimulation driven bycelularautomataarerealized.Aclosed-loop technical system of“data fusion-computational optimization-simulation verification”is formed toprovideaful-chain solution from basic perception to decision support for intelligent traffic management.

Keywords： multi-dimensional data fusion;trafic flow parameter;real-time monitoring;celllar automata; space segmentationalgorithm

0 引言

随着全球城市化进程的加速，交通拥堵已成为制约城市可持续发展的关键瓶颈问题。（剩余9901字）