北京市出租车GPS轨迹数据统计特征分析

以2015年5月11-17日北京市3万多辆出租车3.85亿条轨迹点数据为研究对象,对非载客段数据点进行剔除,使用R语言从居民出行距离、轨迹段持续时间、分时段出行量、出行方向及平均速度五个角度进行统计特征分析,并通过拟合得到浮动车行驶距离与持续时长所遵循的指数分布,进而发现距离衰减效应、工作日与周末的日律性,并以此分析乘客出行距离、出行时间的潜在规律。

Statistical Characteristics Analysis of GPS Trajectory Data for Beijing Taxis

Taking the 385 million track point data of more than 30 000 taxis in Beijing from May 11 to May 17,2015 as the research object,the data points of the non-carrier segment were removed,and the distance and trajectory of the residents from the R language were used. The statistical analysis of the segment duration,time-lapse travel,travel direction and average speed is carried out,and the exponential distribution followed by the travel distance and duration of the floating vehicle is obtained by fitting,and then the distance attenuation effect,working day and weekend are found. The rhythm of the Japanese,and to analyze the potential law of passenger travel distance and travel time.