The invention relates to the technical field of traffic engineering, and provides an urban road traffic flow prediction method and system. The method comprises the following steps: determining an associated road section set of a target road section according to a traffic network topological graph; collecting images of a target road section and an associated road section set by using an image monitoring array; reading environmental monitoring data of a target road section, and screening environmental parameters according to close association indexes; window attribute information is determined, historical traffic records of the target road section are retrieved with the environmental parameters and attributes as constraints, and associated historical traffic data are obtained; utilizing the associated image set to predict associated road section flow; and the target image set identifies real-time traffic data, and the real-time traffic data are weighted with historical and associated traffic data to obtain a prediction result. According to the method, the historical flow records are retrieved based on the attribute information of the preset time window and the screened closely associated environmental parameters, so that the technical problem of low accuracy and reliability of flow prediction caused by large historical flow data volume and complex type is solved, and smooth and safe traffic is ensured.
本申请涉及交通工程技术领域,提供一种城市道路交通流量预测方法及系统。所述方法包括:根据交通网络拓扑图确定目标路段的关联路段集;利用图像监测阵列采集目标路段和关联路段集图像;读取目标路段的环境监测数据,按紧密关联指标筛选环境参数;确定窗口属性信息,以环境参数和属性为约束检索目标路段历史流量记录,得到关联历史流量数据;利用关联图像集预测关联路段流量;目标图像集识别实时流量数据,与历史和关联流量数据加权得到预测结果。本申请通过基于预设时间窗口的属性信息和筛选出的紧密关联环境参数,对历史流量记录进行检索,解决因历史流量数据量大、类型复杂导致流量预测的准确性和可靠性低的技术问题,确保交通的顺畅与安全。
Urban road traffic flow prediction method and system
一种城市道路交通流量预测方法及系统
06.08.2024
Patent
Elektronische Ressource
Chinesisch
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