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Waterloo Public Transportation Initiative
Environment 1 352
Title | Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Saavedra, M., B. Hellinga, and J. M. Casello |
Journal | Transportation Research Record: Journal of the Transportation Research Board |
Volume | 2256 |
Pagination | 130-141 |
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. |
URL | http://trrjournalonline.trb.org/doi/abs/10.3141/2256-16 |
DOI | 10.3141/2256-16 |
Refereed Designation | Refereed |
Waterloo Public Transportation Initiative
Environment 1 352
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.