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.
Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis
IET Intelligent Transport Systems ; 14 , 12 ; 1524-1533
01.12.2020
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
different vehicle types , reliable travel time information , transportation , urban arterial roads , sub-populations , finite mixture survival model , statistical analysis , travel modes , roads , urban arterial travel time , travel time data , different travel behaviours , travel time variability , diverse travel , passenger cars , travellers , road traffic , urban daily trips , traffic engineering computing , TTV differs , TTV analyses , higher TTV , different roads
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