The invention discloses a traffic travel model construction method based on mobile phone signaling data, and relates to the technical field of traffic models, and the method comprises the following steps: obtaining the mobile phone signaling data in advance, carrying out the extraction of the mobile phone signaling data, obtaining the feature information of a travel individual, and carrying out the travel mode judgment; and obtaining a travel distance and a travel speed to judge a travel mode of individual travel, judging the selected travel mode modeij through the travel distance and the travel speed, obtaining an activity type as input information, and establishing a dynamic traffic travel model of the target area as a prediction model. According to the method, through data mining, the cost of traffic model data acquisition can be reduced, the machine signaling data is updated in real time, the timeliness and accuracy of the model are greatly improved, the constructed traffic model has wider usability, future traffic travel can be predicted, and the implementation effect of the traffic policy can be simulated in advance, and the application range is wide.
本发明公开了一种基于手机信令数据的交通出行模型构建方法,涉及交通模型技术领域,包括以下步骤:预先获取手机信令数据并进行对手机信令数据提取,获取出行个体的特征信息,进行出行模式判定,获取出行距离和出行速度进行判定个体出行的出行方式,通过出行距离与出行速度判定选择的出行方式modeij并获取活动类型作为输入信息,建立目标区域的动态交通出行模型作为预测模型。本发明实现通过数据挖掘,能够降低交通模型数据获取的成本,其机信令数据实时更新的,极大的提高了模型的及时性和准确度,另外构建的交通模型具有更广的使用性,不仅能够对对未来的交通出行进行预测,而且能够对交通政策的实施效果进行预先模拟,应用范围广。
Traffic travel model construction method based on mobile phone signaling data
一种基于手机信令数据的交通出行模型构建方法
2021-02-09
Patent
Electronic Resource
Chinese
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