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Title:

Exploiting New High Resolution Transit Data Sources: Developing Improved Data Driven Models of Transit Travel Time and Delay

Accession Number:

01630353

Record Type:

Component

Abstract:

Transit travel time, operating speed and reliability all influence service attractiveness, operating cost and system efficiency. TriMet of Portland, Oregon, has not only implemented a bus dispatch system (BDS) but has fully archived the automatic vehicle location and automatic passenger count data for all bus trips at the stop level since 1997. More recently, the BDS was upgraded to provide stop-level data plus 5-second resolution bus positions between stops. Rather than relying on prediction tools to determine bus trajectories (including stops and delays) between stops, the higher resolution data presents actual bus positions along each trip. Bus travel speeds and intersection signal/queuing delays may be determined using this newer information. This research examines the potential applications of higher resolution transit operations data for a bus route in Portland, Oregon. BDS and 5SR data from all trips during one month are used to determine the impacts and evaluate candidate trip time models. In previous research inter-stop models were developed based on average or maximum speed between stops. This does not represent realistic conditions of stopping at a signal/crosswalk or traffic congestion along the link. A new statistically significant inter-stop trip time model is developed using the 5SR data to determine the number of signals encountered by the bus along the route. The variability in inter- stop time is likely due to the effect of the delays superimposed by signals encountered. This type of tool is important to transit agencies looking to improve bus running times and reliability. Comparisons are drawn between models and the benefits of archiving higher resolution data to understand bus movement between stops, and future research opportunities are also discussed.

Supplemental Notes:

This paper was sponsored by TRB committee AP000 Public Transportation Group. Alternate title: Exploiting New High-Resolution Transit Data Sources: Developing Improved Data-Driven Models of Transit Travel Time and Delay

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05490

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Sidhu, Bobjot S
Bertini, Robert L
Pande, Anurag

Pagination:

20p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Portland (Oregon)

Subject Areas:

Data and Information Technology; Operations and Traffic Management; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05490

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:10PM