A Preliminary Study: Applications of Smart Phone Truck Data to Develop Freight Performance Measures...
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Transcript of A Preliminary Study: Applications of Smart Phone Truck Data to Develop Freight Performance Measures...
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 MeetingSanta Barbara, CA
Tuesday, June 26th, 2012
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Outline
• Project Background
• Literature Review
• Data Description & Preliminary Analysis
• Ancillary Applications & Future Research
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• No diesel fuel tax on heavy trucks in Oregon
• Weight-mile tax: trucks over 26,000 lbs
• Axle-based weight-mile tax: trucks over 80,000 lbs
• Mileage currently self-reported
• Oregon Trucking Online (25% in 2009)
• Audits using weigh station records
Project Background
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Oregon Commercial Truck Weight-Mile Tax
• Simplify weight-mile tax collection
• Smartphone application that tracks satellite GPS 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
Project Background
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Truck Road Use Electronics (TRUE)
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Proprietary Applications
Smartphone Applications in Transportation
• Travel time estimates
• INRIX – Urban Mobility Report
• Xata Turnpike – Fleet management & optimization
• EROAD – New Zealand truck tax
• Emissions estimates
Literature Review
Literature Review
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• 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
Academic Research (not a comprehensive review)
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Project Background
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Literature Review
Data Description
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Location & Time Data
Data Description
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Link to License Plate
Data Description
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Link to WIM Data
Data Description
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WIM Data
Preliminary Analysis
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Primary Users by Weight Class
Preliminary Analysis
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Class 1030 Counts
Next Steps – Short Term
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• 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
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Acknowledgements
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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 [email protected]
Miguel [email protected]
Civil and Environmental EngineeringPortland State University
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Literature Review
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Future Research
Analysis Framework
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Project Background
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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
Applications
Freight Performance Measures
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• 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
Applications
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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