详情

原文传递 Exploring Holiday Trip Patterns on Freeways Based on Electronic Toll Collection Data

题名：	Exploring Holiday Trip Patterns on Freeways Based on Electronic Toll Collection Data
正文语种：	中文
作者：	-Yu LOU -Yu HSU -Ting HSU
作者单位：	of Civil Engineering,Taiwan University,Room 305,Civil Engineering Building,No.1,Roosevelt Road,Sec.4
关键词：	Electronic Toll Collection Origin-Destination Table Public holidays K-Means Logistic Regression
摘要：	Based on the trip data derived from the Electronic Toll Collection system for the freeway system in Taiwan Region,this study seeks to explore the flow pattern and related characteristics of trips made on public holidays,particularly long holidays.The daily travel data are converted into an origin-destination table,where the origins and destinations include the 15 major counties and cities in Taiwan Region.K-means clustering is used to group each daily O-D table into 5 groups to distinguish different types of daily trip patterns.This study further employs logistic regression to analyze the characteristics of each group in terms of how traffic management measures and holiday-related characteristics may affect trip distribution across the freeway.The results suggest that the trip pattern on normal workdays is significantly different from it on holidays; the latter one generally involves more long-distance trips.
会议日期：	201907
会议举办地点：	台北
会议名称：	第27届海峡两岸都市交通学术研讨会
出版日期：	2019-06-30
母体文献：	第27届海峡两岸都市交通学术研讨会论文集