The invention discloses a bridge vehicle space-time distribution identification method fusing different-frequency vehicle positioning data, and belongs to the technical field of bridge vehicle space-time distribution identification. The problem that in the prior art, a traditional bridge vehicle space-time distribution identification method is difficult to accurately identify vehicle tracks under the condition that vehicle positioning data tracks are sparse is solved. The method comprises the following steps: firstly, carrying out road section level positioning and bridge road section matching, and then carrying out bridge lane level positioning and bridge lane matching for a bridge in a single row direction to obtain vehicle space-time distribution of each bridge in a bridge group; a multi-modal vehicle lane change probability calculation model is constructed to match road lanes, whether the vehicle changes the lane or not and the possibility of changing the lane to other lanes can be effectively evaluated, and an optimal matching result of a vehicle positioning point and the road lanes is obtained according to vehicle lane change constraints and vehicle position constraints. The method can achieve the high-precision recognition of the space-time distribution of vehicles of a city-level large-scale bridge group, and can be applied to the recognition of the bridge vehicle distribution.
本发明公开了融合不同频率车辆定位数据的桥梁车辆时空分布识别方法,属于桥梁车辆时空分布识别技术领域。解决了现有技术中传统的桥梁车辆时空分布识别方法难以在车辆定位数据轨迹稀疏的情况下精确识别车辆轨迹的问题;本发明首先进行路段层次的定位与桥梁路段匹配,再针对桥梁单一行别方向车道层次的定位与桥梁车道匹配,得到桥梁群每个桥梁的车辆时空分布;构建了多模态车辆换道概率计算模型对路段车道进行匹配,能够有效评估车辆是否换道以及换道到其他车道的可能性,根据车辆换道约束和车辆位置约束,获取车辆定位点与路段车道的最优化匹配结果。本发明可实现城市级大规模桥梁群的车辆时空分布高精度识别,可以应用于识别桥梁车辆分布。
Bridge vehicle space-time distribution identification method fusing vehicle positioning data of different frequencies
融合不同频率车辆定位数据的桥梁车辆时空分布识别方法
2024-01-30
Patent
Electronic Resource
Chinese
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