Identifying and Classifying Freight Trip Stops from GPS Data
Many previous efforts have been made to use global positioning system (GPS) data gathered from mobile units to measure freight network performance. While the majority of these previous works were instrumental in establishing the technical reliability of GPS information and using that information to measure basic network performance, there have been few if any attempts to classify stops (i.e. stops for deliveries, unscheduled stops and traffic stops). Using data from freight vehicles in the New York City metropolitan area we developed a three step process to identify and classify trip stops by purpose (i.e. rest stops, unscheduled, deliveries) and calculate the relevant tour performance measures such as average delivery stops per tour, average service time and vehicle movements per destination.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ90 Freight Transportation Data.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Richardson, Eric
- Ban, Xuegang (Jeff)
- Holguín-Veras, Jose
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Conference:
- Transportation Research Board 92nd Annual Meeting
- Location: Washington DC, United States
- Date: 2013-1-13 to 2013-1-17
- Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 14p
- Monograph Title: TRB 92nd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Delivery service; Freight traffic; Global Positioning System; Information processing; Performance measurement; Trip tables
- Geographic Terms: New York Metropolitan Area
- Subject Areas: Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management; I70: Traffic and Transport; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01476775
- Record Type: Publication
- Report/Paper Numbers: 13-3737
- Files: TRIS, TRB, ATRI
- Created Date: Mar 27 2013 9:37AM