City of Edmonton Commercial Vehicle Model Update Using a Roadside Truck Survey

The movement of goods and services are central to the economy of the City of Edmonton. The City of Edmonton primarily relies on trucks for its urban goods movement. The City of Edmonton last developed a commercial vehicle model (CVM) based on data from an establishment survey and external truck counts from 2001. The model is a micro-simulation framework that simulates commercial vehicle tours, including both goods movements and service delivery tours. The City of Edmonton also conducted a roadside commercial vehicle survey in 2012. The goal of this project was to adjust the model to reflect the latest data collected in the 2012 Roadside Commercial Vehicle Survey as well as other information, such as land use data, other road counts, and updated network information. The lack of recent establishment-based survey data prevents a full-blown re-estimation of the tour-based micro-simulation model. A cost effective approach to upgrade the commercial vehicle model is to use an iterative procedure to adjust model parameters to better reflect current conditions. This paper gives an overview of the project scope and study area, the original CVM structure and calibration process, a comparison of the original model outputs to the observed count data, the method used to re-calibrate model parameters, and the resulting model outputs from the re-calibrated model. Finally, the challenges and successes associated with this project as well as the lessons learned are discussed.


  • English

Media Info

  • Media Type: Web
  • Pagination: 1 PDF file, 184 KB, 15p.
  • Monograph Title: Canadian Transportation Research Forum 50th Annual Conference - Another 50 Years: Where to From Here?//Un autre 50 ans : qu'en est-il à partir de maintenant? Montreal, Quebec, May 24-26, 2015

Subject/Index Terms

Filing Info

  • Accession Number: 01605015
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Jul 26 2016 5:03PM