Oregon State University
Freight Corridor Resilience Measurement Using Telematics Data
Developed and validated freight disruption indicators that quantify corridor resilience using real-world operating data, enabling state transportation agencies to identify critical network links for investment.
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EROAD
Predicting High-Risk Curves Before Crashes Occur
Processed 14 billion telematics records to build New Zealand's first nationwide curve risk index, identifying dangerous curves through driver behaviour patterns before crash statistics reveal the risk.
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EROAD
Quantifying the Real-World Impact of Speeding on Travel Time
Evidence-based analysis of Auckland trip data proved that speeding yields negligible travel time savings, providing compelling support for road safety campaigns and speed compliance messaging.
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EROAD
Assessing Truck Parking Performance Across the United States
Created a state-level Parking Performance Index using telematics and electronic logging data, revealing where infrastructure meets driver needs and where safety risks persist due to parking shortages.
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EROAD
Categorising Road Network Risk Using Driver Behaviour Data
Developed a composite road risk index combining fatigue, frustration, and familiarity factors from 1 billion+ telematics records, enabling proactive safety interventions aligned with Vision Zero principles.
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Hamilton City Council
Measuring the Impact of the Waikato Expressway on Travel Times
Quantified freight route shifts and travel time improvements following the Waikato Expressway opening, validating the infrastructure investment with robust before-and-after evidence.
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Hamilton City Council
Evaluating Detour Performance During the Kahikatea Upgrade
Used telematics-based virtual gates to track traffic flows before, during, and after construction, identifying detour effectiveness and rat-running hotspots to inform future roadworks management.
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Ministry of Transport
Near-Real-Time Freight Monitoring During Covid-19 Lockdowns
Delivered weekly telematics-based freight intelligence to the Ministry during the pandemic, directly informing ministerial briefings and targeted policy measures to keep essential supply chains moving.
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Ministry of Transport
Assessing New Zealand's Vehicle Fleet Efficiency
Combined telematics trip data with fuel consumption records to quantify the real-world efficiency gap between older and newer vehicles, directly informing the national emissions reduction plan.
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Ministry of Transport
Building Freight Assumptions for a National Agent-Based Model
Created an SA2-level origin-destination matrix from telematics data to underpin the Ministry's national agent-based model, enabling scenario testing for long-term infrastructure planning.
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Ara Ake
Fleet Decarbonisation Insights for a National Transition Tool
Analysed trip distance distributions from fleets nationwide to underpin a public-facing decarbonisation model, enabling fleet operators to assess realistic low-emission vehicle options.
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Auckland Transport
Contextualising In-Ground Loop Counts with Vehicle Composition Data
Integrated telematics data with loop counter locations to reveal the vehicle composition crossing each site, informing strategic placement of future monitoring infrastructure.
Read case study →Improving Motorway Survey Design and Network Performance Insights
Analysed multiple survey rounds and free-text responses alongside telematics performance data, delivering a holistic view of user sentiment and actionable recommendations for survey methodology improvement.
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University of Auckland
Mapping Aggregates Supply Chain Movements for Infrastructure Research
Provided anonymised telematics datasets showing aggregate material movements from quarries to construction zones, strengthening research into how supply reliability affects infrastructure project delivery.
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Emissions Impossible
Clarifying Vehicle Kilometres Travelled by Heavy Vehicle Configuration
Delivered unprecedented clarity on freight VKT by rigid and trailer combinations using geospatial analysis, providing the Ministry of Transport with a detailed evidence base for emissions and freight policy.
Read case study →Assessing Speed Compliance Through Work Zones in Northland
Evaluated the effect of posted speed limit data on driver behaviour through a high-priority work zone, providing evidence for safer temporary traffic management strategies.
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Waka Kotahi
Improving NLTF Cost Allocation with Real-World Road Usage Data
Demonstrated how telematics-based road usage analysis can improve the fairness and accuracy of National Land Transport Fund allocation by linking maintenance budgets to actual heavy vehicle impact.
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Richard Paling Consulting / Waka Kotahi
Updating the National Freight Demand Study with Telematics Data
Provided SA2-level origin-destination data segmented by industry type for the National Freight Demand Study, including inter-island ferry crossing quantification — the most detailed freight dataset used in an NFDS to date.
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Tauranga City Council
Understanding Heavy Vehicle Movements for the Tauranga Transport Model
Replaced modelled assumptions with telematics-derived trip data classified to traffic analysis zones, significantly improving the accuracy and reliability of the city's transport model.
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Oregon State University
Evaluating Roundabout Performance Using Telematics Data
Reconstructed vehicle paths through roundabouts using telematics data to estimate traversal times and challenge industry perceptions about heavy vehicle delays, informing ODOT design assessments.
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Oregon State University
Tracking Freight Movements by Commodity Type in Idaho
Developed a novel methodology to link telematics trip data to commodity flows, offering Idaho DOT unprecedented detail for commodity-specific infrastructure planning and investment prioritisation.
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Portland State University
Assessing the Impact of Covid-19 Regulatory Relaxations on Truck Parking
Measured changes in driver compliance and parking behaviour following ELD regulation relaxations, providing evidence for evaluating future policy adjustments that balance safety with operational flexibility.
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Texas A&M Transportation Institute
Estimating Heavy Vehicle Idling Activity and Emissions in Texas
Integrated telematics data with parking facility inventories and machine learning models to produce county-level idling profiles, improving the accuracy of state emissions inventories and regulatory planning.
Read case study →Measuring Freight Disruption During Hurricane Florence
Analysed 587,000 trip records to document route closures, freight re-routing, and recovery times during Hurricane Florence, providing evidence-based recommendations for future disaster resilience planning.
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