Project Summary
The delivery of any traffic management, infrastructure or policy change should be based upon the best data available to ensure approaches are suitably evidence based. Currently evidence used typically originates from surveys, incident reports, key individual expertise, sensor data and modelled estimations. This project proposes augmenting current data availability with new data in the form of ‘virtual sensors’ derived from very large scale vehicular telemetrics data. Virtual sensors have strong potential to fundamentally change how roads are understood and this project aims to 1) make such data available to estimate the impact it can bring to aid key DfT objectives 2) test the application of ‘virtual sensor’ data in a test region with emission understanding as a target use case to demonstrate added value.
