The objectives of this research were to retrospectively study the feasibility for using truck transponder data to produce freight corridor performance measures (travel times) and real-time traveler information. To support this analysis, weigh-in-motion data from each of the twenty-two stations in Oregon were assembled, processed, and uploaded in the WIM data archive is housed under the Portland Transportation Archive Listing (PORTAL) umbrella at Portland State University's Intelligent Transportation Systems Lab. Nearly 42,000,000 truck records were successful uploaded to the archive dating back to July 2005. Two separate algorithms necessary for this research were scripted, tested, and validated. The closest stations are 38.3 miles apart; the greatest are 258 miles apart. The first algorithm matched transponders between of all vehicles in a time window between the upstream and downstream stations. The second algorithm filtered these matches for through trucks. The filter was validated by comparing estimated travel times during a winter weather-induced delay.
Developing Corridor-Level Truck Travel Time Estimates and Other Freight Performance Measures from Archived ITS Data
2009
118 pages
Report
Keine Angabe
Englisch
Road Transportation , Transportation & Traffic Planning , Transportation , Computers, Control & Information Theory , Information Systems , Trucks , Travel times , Corridor performance , Literature reviews , Oregon , Estimating , Tables (Data) , Graphs (Charts) , Figures , Intelligent transportation systems , Freight performance measures , Ground truth comparisons , Electronic screening programs , Toll transponder matching , TranStar algorithm , TransGuide algorithm , Transmit algorithm , Truck transponder matching , Washington TRAC Truck Tag Project , Weigh in motion
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