The invention discloses a multi-source traffic data processing method based on confidence evaluation, which is used for fusing the data of the same traffic characteristic parameter and aggregating the data of different traffic characteristic parameters under the same space-time granularity so as to obtain various traffic flow indexes under a space research unit. Firstly, confidence coefficients of traffic characteristic parameters under different detection systems are calibrated; selecting the traffic characteristic value provided by the detector with the maximum confidence coefficient as the traffic flow index of the spatial research unit aiming at the traffic flow index which can be directly obtained; and for the traffic flow indexes which cannot be directly obtained, obtaining the traffic flow indexes of the spatial research unit through traffic characteristic value derivation. According to the method, the problems of isolated operation and data fusion application of different types of traffic detection systems in an urban intelligent traffic system are solved, and the data utilization rate and availability are improved.
本发明公开一种基于置信度评估的多源交通数据处理方法,用于将采集到的相同时空粒度下同一交通特征参数的数据融合和不同交通特征参数的数据聚合,以获取一个空间研究单位下的各种交通流指标,首先标定不同检测系统下交通特征参数的置信度;针对可直接获取的交通流指标,选取置信度最大的检测器提供的交通特征值作为该空间研究单位的交通流指标;针对无法直接获取的交通流指标,通过交通特征值推导获得该空间研究单位的交通流指标。本发明解决城市智能交通系统中不同类别的交通检测系统孤立运行和数据融合应用问题,提高数据利用率和可用性。
Multi-source traffic data processing method based on confidence evaluation
一种基于置信度评估的多源交通数据处理方法
2023-04-04
Patent
Elektronische Ressource
Chinesisch
Traffic simulation evaluation system driven by multi-source data
Europäisches Patentamt | 2021
|Multi-source data fusion system in urban traffic big data processing
Europäisches Patentamt | 2021
|Traffic jam tracing method based on multi-source data
Europäisches Patentamt | 2021
|Europäisches Patentamt | 2020
|