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A Preliminary Study: Applications of Smart Phone Truck Data to Develop Freight Performance Measures and Support Transportation Planning. Katherine E. Bell, P.E. Dr. Miguel A. Figliozzi 2012 Annual Western District ITE Meeting Santa Barbara, CA Tuesday, June 26 th , 2012. 1. Outline.
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A Preliminary Study: Applications of Smart Phone Truck Data to Develop Freight Performance Measures and Support Transportation Planning Katherine E. Bell, P.E.Dr. Miguel A. Figliozzi2012 Annual Western District ITE MeetingSanta Barbara, CATuesday, June 26th, 2012 1
Outline Project Background Literature Review Data Description & Preliminary Analysis Ancillary Applications & Future Research 2
Project Background Oregon Commercial Truck Weight-Mile Tax • No diesel fuel tax on heavy trucks in Oregon • Weight-mile tax: trucks over 26,000 lbs • Axle-based weight-mile tax: trucksover 80,000 lbs • Mileage currently self-reported • Oregon Trucking Online (25% in 2009) • Audits using weigh station records 3
ProjectBackground Truck Road Use Electronics (TRUE) • Simplify weight-mile tax collection • Smartphone application that tracks satelliteGPS data • Automated taxing process; view mileage online • Reduces administrative burden • Reduces reporting errors and tax avoidance • February 2010 – ODOT TRUE Pilot Project • 3 Motor Carriers, 15 trucks • Locations recorded every 5 minutes for over 1 year 4
Literature Review Smartphone Applications in Transportation • Emissions estimates • Travel time estimates Proprietary Applications • INRIX – Urban Mobility Report • Xata Turnpike – Fleet management & optimization • EROAD – New Zealand truck tax 5
Literature Review Academic Research(not a comprehensive review) • 2008 Trip Identification Algorithm– Greaves & Figliozzi • 2010 Validation of traffic models, off-peak deliveries – Holguin-Veras et al • 2011 Multi-Criteria Performance Measures(Mobility, Emissions, Cost) – Wheeler & Figliozzi • Combined GPS data & loop sensor data • Emissions estimations using MOVES 2010 • 2012 Clean Trucks Program – You & Ritchie • Identify truck depots • Measure truck turnaround time at Ports 6
Data Description Location & Time Data 9
Data Description Link to License Plate 10
Data Description Link to WIM Data 11
Data Description WIM Data 12
Preliminary Analysis • Primary Users by Weight Class 13
Preliminary Analysis • Class 1030 Counts 14
Next Steps – Short Term • Mobility • Travel Time Reliability & Speed Measures • Compare to PORTAL (Portland Oregon Regional • Transportation Archive) • Planning & Modeling • Emissions Estimations – MOVES (Motor Vehicle Emission Simulator) • GreenSTEP Model – Greenhouse Gas Statewide Transportation Emissions Planning Model • SWIM2–ODOT Second Generation StateWide Integrated Model • Oregon Freight Plan • Data Improvements TT – Travel Time TTR – Travel Time Reliability TTI – Travel Time Index PTI – Planning Time Index 15
Acknowledgements Oregon Transportation Research and Education Consortium (OTREC) Oregon Department of Transportation (ODOT) Greg Dal Ponte & Gina Salang (MCTD) Becky Knudson (TPAU) & Myra Sperley (Research) Steve Ross, Chris Howell, Peter Douglas, Michael Bolliger (MCAD) Questions Katherine Bell bell2@pdx.edu Miguel Figliozzi figliozzi@pdx.edu Civil and Environmental Engineering Portland State University 17
Future Research • Analysis Framework 19
Applications • Freight Performance Measures • Mobility, Congestion & Reliability • Travel Time Reliability • Congestion at bottlenecks • System Condition – Maintenance & Preservation • Bridge wear – f(Gross Vehicle Weight) • Pavement wear – f(axle weights) TT – Travel Time TTR – Travel Time Reliability TTI – Travel Time Index PTI – Planning Time Index cc Pvmt / Bridge Forensics Design Estimates Weight limit violations 21
Applications • Freight Performance Measures • Environment–Emissions estimates (especially GHG) • Safety • Accessibility & Connectivity – ports, airports, highways • Longer Combination Vehicle (LCV) Network Access • Truck turnaround time at ports Equipment Cargo Delay 22
Applications • Planning & Modeling • Oregon Freight Plan – policy/investments vs. economic forecasts • SWIM2–ODOT Second Generation StateWide Integrated Model • EPA MOVES – Motor Vehicle Emission Simulator • GreenSTEP Model – Greenhouse Gas Statewide Transportation Emissions Planning Model • Trip Generation Rates – Route, vehicle and mode choice 23