01336865

Component

https://doi.org/10.3141/2256-16

http://scholar.google.com...ello&publication_year=2011

Automatic vehicle location (AVL) and automatic passenger counting (APC) systems are powerful tools for transit agencies to archive large, detailed data sets for transit operations. Ensuring data quality is an important first step to exploiting these data sets. An automated quality assurance methodology is presented to identify unreliable archived AVL-APC data for exclusion from further operational analyses. The approach is based on observed or expected pattern limitations of travel and passenger activity, which are derived from archived data. Stop-level tests identify suspect data, which are then flagged at the trip level. A methodology case study is presented for AVL-APC data from Grand River Transit in the region of Waterloo, Ontario, Canada.

01362484

11-0661

English

pp 130-141

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222921

Print

Figures (3) ; References (15) ; Tables (5)

Automatic vehicle location; Case studies; Data banks; Data quality; Passenger counting; Public transit; Quality assurance; Transit operating agencies

Activity patterns; Automated passenger counters

Waterloo (Canada)

Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB

Feb 17 2011 5:31PM

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