Sponsor
Portland State University. Department of Civil & Environmental Engineering
First Advisor
Miguel Figliozzi
Date of Publication
Fall 12-7-2017
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Civil & Environmental Engineering
Department
Civil and Environmental Engineering
Language
English
Subjects
Travel time (Traffic engineering) -- Oregon -- Portland, Bus lines -- Management -- Data processing, Traffic calming
DOI
10.15760/etd.5949
Physical Description
1 online resource (viii, 80 pages)
Abstract
Travel times, operating speeds, and service reliability influence costs and service attractiveness. This paper outlines an approach to quantify how these metrics change after a modification of roadway design or transit routes using archived transit data. The Tri-County Metropolitan Transportation District of Oregon (TriMet), Portland's public transportation provider, archives automatic vehicle location (AVL) data for all buses as part of their bus dispatch system (BDS). This research combines three types of AVL data (stop event, stop disturbance, and high-resolution) to create a detailed account of transit behavior; this probe data gives insights into the behavior of transit as well as general traffic. The methodology also includes an updated approach for confidence intervals estimates that more accurately represent of range of speed and travel time percentile estimates. This methodology is applied to three test cases using a month of AVL data collected before and after the implementation of each roadway change. The results of the test cases highlight the broad applicability for this approach to before-and-after studies.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/23372
Recommended Citation
Glick, Travis Bradley, "Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions" (2017). Dissertations and Theses. Paper 4065.
https://doi.org/10.15760/etd.5949