基于多源信息融合的动态交通信息预测系统设计

Design of dynamic traffic information prediction system based on multi-source information fusion

在复杂交通网络环境下进行的动态交通信息预测,提高交通通行能力,提出基于多源信息融合的动态交通信息预测方法。构建动态交通信息流模型,分析动态交通信息的统计结果模型,采用统计特征采样方法进行原始动态交通信息的信息采集,对采集的动态交通信息构建统计分析模型,采用多源信息结构重组方法实现对动态交通信息的解空间重构,提取动态交通信息的卷积特征量,根据特征提取结果进行信息融合处理,采用多源信息融合方法进行动态交通信息调度,在信息融合空间内进行动态交通信息的分布式聚类和模糊指向性约束控制,实现动态交通信息预测。仿真结果表明,采用该方法进行动态交通信息预测的准确性较高,信息融合度较好。

In order to improve traffic capacity,a dynamic traffic information prediction method based on multi-source information fusion is proposed.The dynamic traffic information flow model is constructed,the statistical result model of the dynamic traffic information is analyzed,the original dynamic traffic information is collected by the statistical characteristic sampling method,and the statistical analysis model of the collected dynamic traffic information is constructed.The multi-source information structure reorganization method is used to reconstruct the solution space of the dynamic traffic information,extract the convolution feature quantity of the dynamic traffic information,and process the information fusion according to the feature extraction result.The multi-source information fusion method is used to schedule the dynamic traffic information.The distributed clustering and fuzzy directivity constraint control of the dynamic traffic information are implemented in the information fusion space to realize the dynamic traffic information prediction.The simulation results show that the proposed method is more accurate and has a better degree of information fusion.