Digital Transformation of Wildlife Detection Systems: Lessons Learned from Radar and Machine Learning Deployments

Wildlife-vehicle collisions remain a significant road safety concern throughout North America and internationally. Collisions involving large animals such as deer, elk, and moose can result in serious injuries, fatalities, substantial property damage, and impacts to wildlife populations. Traditional mitigation measures, including static warning signs, and public awareness campaigns, continue to play an important role but are often limited in their ability to provide real-time information to motorists. [...]

UAV-Based Mobility Intelligence: Infrastructure-Free Computer Vision for Sustainable and Safe Road Network Operations

Modern transportation networks face an unprecedented dual challenge: accelerating global urbanization and the urgent requirement for sustainable, decarbonized infrastructure. Traditional road network operations (RNO) have historically relied heavily on ground-fixed physical infrastructure—such as inductive loop detectors, permanent roadside radar units, and fixed CCTV networks—to monitor, evaluate, and manage traffic flow. However, these asset-heavy methodologies require substantial capital [...]

Digital Transformation for Sustainable and Intelligent Road Network Operations: National Highways Lighting Asset Inventory Survey

National Highways and many other road operators are increasingly under pressure to decarbonise, improve safety and keep networks moving, while managing ageing assets and maintaining asset records. The National Highways Lighting Asset Inventory Survey (LAIS) project showed how connected data capture, machine learning and geospatial analytics can deliver an efficient and safe inventory survey, at a national scale, to support effective asset management. 

From Fixed Plans to Intelligent Decisions: The Evolution of Traffic Signal Control in the Digital Era

Urban traffic congestion imposes a significant and measurable cost on economies, environments, and quality of life. In the United Kingdom alone, road network delays cost billions of pounds annually in lost productivity. Yet the fundamental instrument for managing urban traffic flows — the traffic signal — has existed for over a century. What has changed dramatically is the intelligence embedded in how those signals are controlled.

Digital Transformation in Texas Freeway Operations: Automated Slow-down Alerts and In-cab Warnings

Texas freeways face increasing safety and operational challenges from heavy traffic demand, congestion, and crash-related disruptions. In response, the Texas Department of Transportation (TxDOT) has advanced Transportation Systems Management and Operations (TSMO) strategies that emphasize real-time monitoring, proactive operational response, and technology-enabled improvements to enhance safety and mobility on the existing transportation system. As part of this effort, digital transformation is [...]