Measuring journey time reliability in London using automated data collection systems

Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.

Bibliographic Details
Main Author: Schil, Mickaël (Mickaël René Jerôme)
Other Authors: Nigel H.M. Wilson and Harilaos N. Koutsopoulos.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/74273
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author Schil, Mickaël (Mickaël René Jerôme)
author2 Nigel H.M. Wilson and Harilaos N. Koutsopoulos.
author_facet Nigel H.M. Wilson and Harilaos N. Koutsopoulos.
Schil, Mickaël (Mickaël René Jerôme)
author_sort Schil, Mickaël (Mickaël René Jerôme)
collection MIT
description Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.
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spelling mit-1721.1/742732019-04-10T13:47:51Z Measuring journey time reliability in London using automated data collection systems Schil, Mickaël (Mickaël René Jerôme) Nigel H.M. Wilson and Harilaos N. Koutsopoulos. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student submitted PDF version of thesis. Includes bibliographical references (p. 161-162). Service reliability is critical for both users and operators of transit systems. The rapid spread of Automated Data Collection Systems, such as Automated Fare Collection (AFC) and Automatic Vehicle Location (AVL), provides new sources of information that can be used to measure and assess service reliability. The main objective of this thesis is to develop a set of simple, customer-driven metrics of journey time reliability, that could be useful and meaningful for both customers and operators. The set of metrics are consistent across transit modes (rail and bus networks). The proposed methodology, common to rail and bus systems, consists of (1) an analysis of the journey time distributions at the finest spatial and temporal resolution, the origin-destination pair (O-D) and time period level (customer perspective), (2) the aggregation of the reliability metrics at the line (route) level (operator perspective), and (3) the definition of journey time reliability standards at the O-D pair and time period level, by the identification of a representative "good" journey time distribution (both customer and operator perspective). For fully gated transit systems, like the London Underground, AFC data provides direct travel time measures for every journey from the fare gate at the entry station to the fare gate at the exit station. For non-gated systems, such as many bus networks, no information is available on passengers' arrival times at the origin bus stop. A method that combines AVL and AFC data is proposed to estimate waiting times at stops so that they can be included in the journey time reliability calculation. Furthermore, the method accounts for the multiple overlapping routes that sometimes serve the same O-D pairs. The proposed methodology is tested using the London public transport system as an illustration. The use of the reliability metrics for operators and customers is also discussed, with proposed modifications of the information provided by journey planners. by Mickaël Schil. S.M.in Transportation 2012-10-26T16:49:30Z 2012-10-26T16:49:30Z 2012 2012 Thesis http://hdl.handle.net/1721.1/74273 813843641 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 162 p. application/pdf e-uk-en Massachusetts Institute of Technology
spellingShingle Civil and Environmental Engineering.
Schil, Mickaël (Mickaël René Jerôme)
Measuring journey time reliability in London using automated data collection systems
title Measuring journey time reliability in London using automated data collection systems
title_full Measuring journey time reliability in London using automated data collection systems
title_fullStr Measuring journey time reliability in London using automated data collection systems
title_full_unstemmed Measuring journey time reliability in London using automated data collection systems
title_short Measuring journey time reliability in London using automated data collection systems
title_sort measuring journey time reliability in london using automated data collection systems
topic Civil and Environmental Engineering.
url http://hdl.handle.net/1721.1/74273
work_keys_str_mv AT schilmickaelmickaelrenejerome measuringjourneytimereliabilityinlondonusingautomateddatacollectionsystems