Using Predictive Analytics for Provide Real-time (and continuously updated) Travel Time Projections by Mode
- Jun 26, 2019
- Focus Area
- Freight/Commercial Vehicle Management and Operations
- Submitting On Behalf Of
- TRB Committee on RTSMO
- Critical - High Priority
- Type of Research
- Full Research Project
- Date Posted
- Jun 26, 2019
- Not Funded
This research would focus primarily for longer trips (including for commercial vehicles) where conditions are likely to change based on past travel patterns and can be combined with real-time data on construction projects and traffic incidents. This might be of particular interest to the Trucking Industry Research Committee regarding time certain deliveries and in light of perceived shortages in truck parking areas since predicting arrival times to available truck parking areas has to take into account hours of service regulations. Better data on travel time could move from a “planning time” or “buffer time” index to a travel time projection that is more reliable and tailored to when travel is taking place and specific routes, hopefully reducing the amount of “buffer” required due to travel time variability.
Additional Supporting Information
DEVELOPED BY: Michael Smith, University of Virginia
POTENTIAL COORDINATION: TRB Trucking Industry Research Committee and TRB Critical Infrastructure Protection Committee
- Submitted By
- Thomas Jacobs
- Center for Advanced Transportation Technology
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