Oregon State University
Project Overview
Robinsight partnered with leading U.S. transportation research institutions on a multi-phase effort to develop and operationalise freight disruption measures using telematics data. This initiative leverages Robinsight's freight telematics dataset to develop robust measures of freight network resilience.
Working with U.S. universities, the project aims to refine and validate these measures, integrate them into disruption modelling, and expand analysis to deliver actionable tools for state transportation planners.
Year 2 Objectives
The research focused on strengthening reliability and expanding practical applications:
- Enhanced algorithms to capture disruption scale and duration
- Integrated telematics data with infrastructure, weather, and commodity flow datasets
- Tested measures across Tennessee and Pacific Northwest corridors
Methodology
The team employed spatial analytics and scenario modelling:
- Processed millions of GPS records from heavy freight vehicles
- Detected disruptions using traffic speed anomalies, dwell time increases, and route diversions
- Calculated resilience metrics including recovery time and detour efficiency
- Validated against historical disruptions
- Modelled hypothetical scenarios to identify vulnerabilities
Key Deliverables
- Validated freight disruption indicators applicable across regions
- Regional case studies with maps and statistical analysis
- Open-access GitHub repository with anonymised datasets and code
- Conference presentations and peer-reviewed publications
- Integration into transportation engineering curricula
Impact
This work enables agencies to quantify freight corridor resilience, identify critical network links for investment, and incorporate resilience into planning and emergency preparedness strategies.
Robinsight's Role
- Privacy-compliant data handling aligned with New Zealand standards
- Customised analysis addressing specific transport questions
- Proven methodologies delivering decision-ready outputs