摘要
公交实时到站数据是乘客出行行为分析的基础,但是现有公交运行数据存在到站时间缺失问题。以公交实时到站数据为基础,结合公交车辆的运行特性以及拥堵传播特性,建立考虑多因素加权的多项式插值方法,对公交车辆的到站缺失数据进行填补。填补后的到站时间能够更详细地描述车辆运行过程,得到更精确的车辆到站间隔。应用该方法对北京市地面公交运行数据进行补全,得到了修正的时刻表,并对公交运行间隔与串车现象进行分析。
Real-time bus arrival data are the basis of passenger travel behavior analysis,however,the existing bus operation data have the problem of missing arrival time data.Based on real-time bus arrival data,this study combines the operating characteristics of buses and congestion propagation,and it establishes a polynomial interpolation method that considers multi-factor weighting to fill the missing data values of bus arrival times.The filled arrival time can describe the vehicle operation process in more detail and obtain more accurate vehicle arrival interval.The proposed method is then used to complement the Beijing transit bus operation data,and a revised timetable is thus obtained.The bus operation interval and the phenomenon of bus bunching are analyzed with the updated timetable.
作者
张可
朱远祺
沈洁
杨子帆
钱慧敏
王贝贝
ZHANG Ke;ZHU Yuan-qi;SHEN Jie;YANG Zi-fan;QIAN Hui-min;WANG Bei-bei(Beijing Transportation Management Technical Support Center, Beijing 100073, China;State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University, Beijing 100044, China;Beijing Transportation Operations Coordination Center, Beijing 100073, China)
出处
《山东科学》
CAS
2020年第4期83-90,116,共9页
Shandong Science
基金
北京市交通行业科技课题(201905-ZHJC2)
交通运输部信息化技术研究项目(2014364X14040)。
关键词
公共交通
到站时间填充
多项式插值
公交运行间隔分析
public transit
arrival time filling
polynomial interpolation
bus operation interval analysis