Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems
Document Type
Journal Article
Publication Date
2012
Subject Area
technology - automatic vehicle monitoring, technology - passenger information, place - north america, mode - mass transit
Keywords
automatic vehicle location (AVL), Automatic Passenger Counting (APC)
Abstract
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.
Rights
Permission to publish the abstract has been given by Transportation Research Board, Washington, copyright remains with them.
Recommended Citation
Saavedra, M., Hellinga, B., & Casello, J. (2012). Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems. Transportation Research Record, Vol. 2256, pp. 130-141.
