Public transport travel time variability definitions and monitoring

Kieu, Le Minh, Bhaskar, Ashish, & Chung, Edward (2015) Public transport travel time variability definitions and monitoring. ASCE Journal of Transportation Engineering, 141(1), 04014068.

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Public Transport Travel Time Variability (PTTV) is essential for understanding the deteriorations in the reliability of travel time, optimizing transit schedules and route choices. This paper establishes the key definitions of PTTV in which firstly include all buses, and secondly include only a single service from a bus route. The paper then analyzes the day-to-day distribution of public transport travel time by using Transit Signal Priority data. A comprehensive approach, using both parametric bootstrapping Kolmogorov-Smirnov test and Bayesian Information Creation technique is developed, recommends Lognormal distribution as the best descriptor of bus travel time on urban corridors. The probability density function of Lognormal distribution is finally used for calculating probability indicators of PTTV. The findings of this study are useful for both traffic managers and statisticians for planning and analyzing the transit systems.

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ID Code: 72535
Item Type: Journal Article
Refereed: Yes
Keywords: Public transport, travel time variability, reliability, travel time distribution, probability indicator
DOI: 10.1061/(ASCE)TE.1943-5436.0000724
ISSN: 1943-5436
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > Research Centres > Smart Transport Research Centre
Copyright Owner: Copyright 2014 American Society of Civil Engineers
Deposited On: 03 Jun 2014 23:10
Last Modified: 25 Feb 2015 14:28

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