The invention discloses an urban travel mode comprehensive identification method based on mobile phone signaling data and containing personal attribute correction. The method aims at mobile phone signaling data generated by a target city all day long and identifies a parking point and an all-day travel OD of each person, and the method includes: firstly, accurately identifying all underground railtransit travel modes through a subway special base station, then, comparing the underground rail transit travel modes with the real navigation data of the Advanced GPS on the basis of extracting mobile phone data characteristic parameters, and identifying the traffic mode of resident travel by utilizing an unsupervised machine learning algorithm. In order to further improve the accuracy and rationality of the mode division result, the mode recognition result is further corrected based on personal attributes and travel behavior characteristics, and the accuracy of the mode division result is improved.
本发明公开了一种基于手机信令数据且含个人属性修正的城市出行方式综合识别方法,针对目标城市全天产生的手机信令数据,识别出每个人的停驻点及全天出行OD,首先通过地铁专用基站精准识别出所有地下轨道交通出行方式,然后在提取手机数据特征参数的基础上与高德GPS真实导航数据相比较,利用无监督的机器学习算法识别居民出行的交通方式。为了更进一步的提高方式划分结果的准确性及合理性,基于个人属性及出行行为特性对方式识别结果进行进一步修正,提高了方式划分结果的准确性。
Urban travel mode comprehensive identification method based on mobile phone signaling data and containing personal attribute correction
一种基于手机信令数据且含个人属性修正的城市出行方式综合识别方法
2020-09-11
Patent
Elektronische Ressource
Chinesisch
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