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Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis

Content Provider	IET Digital Library
Author	Zhong, Xinzhi Zou, Yajie Dong, Zhi Yuan, Shaoxin Ijaz, Muhammad
Abstract	Examining the travel time variability (TTV) of buses, passenger cars and taxis is essential to obtain reliable travel time in urban daily trips. TTV analyses of three travel modes are conducted using travel time data collected on two urban arterial roads in Xi'an City. Firstly, the TTV is evaluated using statistical indexes. The results reveal that the TTV differs from vehicle to vehicle, period to period and site to site. Secondly, the finite mixture survival model is proposed to address the heterogeneity of travel time data by decomposing the population into several sub-populations. Wasserstein distance and Kolmogorov–Smirnov test are used to further compare the sub-populations of different vehicle types during different periods on different roads. Finally, based on the model analysis, it can be found that the finite mixture survival model is an accurate tool to examine the variability by capturing the heterogeneity of travel time data. The difference among the sub-populations suggests different travel behaviours. It concludes that more diverse travel behaviours result in higher TTV. An accurate investigation on TTV is valuable for travellers’ mode choices and transportation management agencies to obtain reliable travel time information and improve traffic efficiency.
Starting Page	1524
Ending Page	1533
Page Count	10
ISSN	1751956X
Volume Number	14
e-ISSN	17519578
Issue Number	Issue 12, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0504
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/14/12
Journal	IET Intelligent Transport Systems
Publisher Date	2020-09-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Different Roads Different Travel Behaviours Different Vehicle Types Diverse Travel Finite Mixture Survival Model Higher TTV Passenger Cars Reliable Travel Time Information Road Traffic Roads Statistical Analysis Statistics Sub-populations System Theory Application in Transportation Traffic Engineering Computing Transportation Travel Mode Travel Time Data Travel Time Variability Travellers TTV Analysis TTV Differs Urban Arterial Roads Urban Arterial Travel Time Urban Daily Trips
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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