Development of a Statistical Algorithm for the Real-Time Prediction of Transit Vehicle Arrival Times Under Adverse Conditions
The authors gratefully acknowledge support provided by Tri-Met, the Multnomah County Bridge Section, and the USDOT University Transportation Centers Program, Region X (TransNow).
Tri-County Metropolitan Transportation District of Oregon, Transportation -- Oregon -- Portland -- Planning, Local transit -- Oregon -- Portland -- Management, Transportation -- Data processing
1 online resource (15 p.)
Prior TransNow funded research by Portland State University (PSU) and the University of Washington (UW) in cooperation with Tri-Met, the transit provider for the Portland metropolitan area, has utilized a rich set of archived data from the Automatic Vehicle Location (AVL)-based Bus Dispatch System (BDS). Tri-Met is one of the few transit agencies that archive AVL data for analysis and research.
Dueker, Kenneth; Kimpel, Thomas J.; and Strathman, James G., "Development of a Statistical Algorithm for the Real-Time Prediction of Transit Vehicle Arrival Times Under Adverse Conditions" (2001). Center for Urban Studies Publications and Reports. 76.
Catalog Number PR123.
Published by the Center for Urban Studies, College of Urban and Public Affairs, Portland State University.