Sponsor
This research was funded by the National Institute for Transportation and Communities, or NITC, a program of TREC at Portland State University.
Document Type
Report
Publication Date
3-2013
Subjects
Freight transportation, Freight transportation -- Mathematical models
Abstract
Freight transportation is an important part of Oregon’s economy, and the Oregon Department of Transportation, or ODOT, continually observes the highway system to make sure it is running as smoothly as possible. By monitoring the progress of individual trucks, ODOT can obtain performance metrics such as travel time, travel delays, and origin-destination flows. This information can help identify slow passages or bottlenecks in the highway system. Typical ways of obtaining these metrics, however, may involve purchasing expensive equipment, and may also raise privacy concerns if each truck is required to carry a tracking unit. To avoid these difficulties, Portland State University researcher Chris Monsere explored a simpler way to get freight performance measures using a probabilistic approach.
Persistent Identifier
http://archives.pdx.edu/ds/psu/16962
Recommended Citation
Cetin, Mecit and Christopher M. Monsere. Tracking Trucks to Improve Performance. Portland, OR: Transportation Research and Education Center (TREC), 2013.
Description
This is a summary of TREC research project: OTREC-RR-12-04, which can be found here: http://nitc.trec.pdx.edu/research/project/327
The final research report can be found here:
http://archives.pdx.edu/ds/psu/11489