The invention discloses a highway traffic jam detection method based on toll data and checkpoint data. According to the method, the traffic jam is predicted by comprehensively utilizing the toll dataand the checkpoint data, data sources are diversified, the toll data is supplemented by utilizing the checkpoint data, the problem of less data between adjacent intercommunication toll stations can bewell solved, and the prediction is more accurate; and the road running state is analyzed by adopting the Gaussian mixture clustering algorithm, the consideration is comprehensive, different traffic forms of the road can be comprehensively simulated and analyzed, and scientificity and comprehensiveness are higher.
本发明公开了一种基于收费数据与卡口数据的高速公路交通拥堵检测方法,本发明考虑了综合利用收费数据和卡口数据来预测交通拥堵,数据来源具有多样性,利用卡口数据对收费数据进行补充,能够很好的解决相邻互通收费站间数据较少的问题,预测更加准确;采用高斯混合聚类算法分析道路运行状态,考虑周全,能全面模拟、分析道路的不同交通形态,科学性、全面性更高。
Highway traffic jam detection method based on toll data and checkpoint data
一种基于收费数据与卡口数据的高速公路交通拥堵检测方法
2020-09-29
Patent
Electronic Resource
Chinese
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