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城市轨道交通短时客流预测体系框架及关键技术

王雪梅 张宁 张云龙

交通运输工程与信息学报Issue(2):107-113,7.
交通运输工程与信息学报Issue(2):107-113,7.

城市轨道交通短时客流预测体系框架及关键技术

Framework and Key Technologies of Short Term Passenger Flow Forecast of Urban Rail Transit

王雪梅 1张宁 1张云龙2

作者信息

  • 1. 东南大学,教育部智能运输系统工程研究中心,南京,210096
  • 2. 德州农机大学,大学城,TX77840
  • 折叠

摘要

Abstract

In view of the systemic deficiencies in current research of short term passenger flow forecast of urban rail transit, a forecast framework of short term passenger flow was constructed. Based on the collected data from the automatic fare collection (AFC) systems, the passenger flow at the stations and the network OD matrix were collected. On this basis, an assignment model of passenger flow for the network, combined with three types of the data sources, that is ,video data, station layout and train timetable, and considering the impact of the walking activities of passengers, was built, and the sectional passenger flow was estimated. Then, based on the analysis of the spacial and temporal characteristics of the passenger flows at station and section, the two passenger flows were forecasted respectively; Afterwards, the network passenger flow OD matrix was backstepped by the short term forecasting results of the passenger flows. Meanwhile, the GARCH model was introduced to analyze and to improve the forecast reliability.

关键词

城市轨道交通/体系框架/短时客流预测/可靠性分析

Key words

Urban rail transit/framework/short term passenger flow forecast/reliability analysis

分类

交通工程

引用本文复制引用

王雪梅,张宁,张云龙..城市轨道交通短时客流预测体系框架及关键技术[J].交通运输工程与信息学报,2013,(2):107-113,7.

交通运输工程与信息学报

1672-4747

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