5.3.14 Estimation of Traffic Count Data, Vehicle Speeds and Origin-Destination Data with Proprietary Traffic Models.5.3.13 Collection of Traffic Count Data with Wireless Magnetometers.5.3.12 Collection of Vehicle Speeds, Travel Times and Origin-Destination Data with ‘New Generation’ Bluetooth Detectors.5.3.11 Utilisation of Colourised Point Clouds from Off-the-Shelf LiDAR Data.5.3.10 Detection of Road and Roadside Objects with Machine Learning and Street-Level Imagery. 5.3.9 Detection of Road Safety Hazards with V2X Communication.5.3.8 Detection of Harsh Braking Locations with Smart Phone Sensors.5.3.7 Collection of Sign Retro-Reflectivity with Computer Vision and Street-Level Imagery.5.3.6 Assessment of Seal Age with Portable Fourier Transform Infrared Spectroscopy Devices.5.3.5 Pavement Structural Health Monitoring with Vibro-Acoustic Techniques.5.3.4 Collection of Pavement Defect Data with Infrared Thermography.5.3.3 Collection of Pavement Distress Data and Road Roughness with Satellite Remote Sensing.5.3.2 Assessment of Pavement Condition with Machine Learning and Street-Level Imagery.5.3.1 Collection of Road Roughness with Smart Phone Sensors.5.3 Summary of Emerging Data Collection Technologies.4.2.17 ‘Traditional’ Bluetooth Detectors.4.2.12 Road Geometry Mapping and Measurement Systems.4.2.7 Benkelman Beams and Deflectographs.4.2.6 Skid Resistance Measurement Systems.4.2.5 Integrated Network Survey Vehicles.4.2 Summary of Current Data Collection Technologies.3.3 Overview of Approach to Developing Network Performance Indicators.3.2.3 Road Controlling Authorities outside Australia and New Zealand.3.2.2 Australian and New Zealand Road Controlling Authorities.3.2.1 Austroads National Performance Indicators.3.2 Overview of Local and International Network Performance Indicators.2.4 Operational Asset Management Data Needs.2.3.4 ‘State of the Asset Base’ Dashboards and Reporting.2.3.3 Performance Measurement and Reporting.2.3 Strategic Asset Management Data Needs.Presented by David Jansen, Susan Chamberlain, Ella Hingston, Dr Colin Kemp and Trevor Chiang. Watch the webinar about the report below. Accordingly, even emerging data collection technologies with relatively low accuracies have a role to play in addressing the data needs of road controlling authorities, and may be used to augment, rather than replace, existing data collection programs. While this occasionally results in lower accuracy, this is consistently offset by high affordability and other strengths such as higher frequencies of data collection, data redundancy and secondary benefits. The evaluation of emerging technologies found existing equipment, such as mobile phones, was often repurposed to develop new methods of data collection. The report summarises current and emerging data collection technologies, and proposes and tests a technology evaluation framework. The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for a lower cost. This report identifies and evaluates technology solutions that meet asset management needs relating to road pavement performance.
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