Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions

Title

Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions

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Date

10-6-2017

Description

Travel times, operating speeds, and service reliability influence costs and service attractiveness. This research 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.

Biographical

Travis was born and raised in Chico, California. During high school, he worked for his county government in the prevention unit, planning and leading after-school programs and regional conferences for at-risk youth. Following high school graduation in 2010, he moved to Portland, OR to attend the Portland State University Honors College. In the summer of 2014 Travis joined the transportation lab and started researching Portland's public transit system. He received a Bachelor of Science in civil engineering and is continuing his education at Portland State by pursuing a Master of Science in civil engineering. Travis enjoys many subjects from the history of the ancient and medieval worlds to astronomy, physics, and biology. However, his primary research interest is in transportation systems. His current research focuses on utilizing high-resolution archived transit data from Portland’s public transportation provider, TriMet, to create and analyze performance metrics for downtown streets and urban arterials.

Subjects

Travel time (Traffic engineering), Traffic congestion -- Measurement, Tri-County Metropolitan Transportation District of Oregon

Disciplines

Transportation | Transportation Engineering | Urban Studies and Planning

Persistent Identifier

http://archives.pdx.edu/ds/psu/21750

Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions

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