Connected and Autonomous Vehicles are coming and they perceive the road environment in a uniquely different way to humans. Our project aims to create a methodology to assess the readiness of the road network for CAVs by assessing the quality of the physical and digital infrastructure that underpins their operation.
The future of CAVs is uncertain and safety is the main priority as they start to become introduced to our roads. By assessing infrastructure against ideal standards we can make sure CAVs are operating in optimally safe environments.
Our project will generate a picture of where CAVs could be safely deployed based on the state of current infrastructure, and where further improvements would be needed to ensure safe operation. The routes requiring improvement could then be assessed to identify what physical mitigation measures could be developed, such as increased V2I measures. If no physical mitigation is possible, then the route could be flagged as less suitable for CAVs and a rerouting strategy proposed.
Our project will produce a methodology to assess the readiness of the road network for the arrival of connected and autonomous vehicles in the coming years
We will collect data for an area of Leeds, UK with mixed road environments using a combination of primary and secondary sources
The index score for each road segment will be mapped to demonstrate the current state of readiness for CAVs and to propose suitable mitigation measures and routing recommendations
The image above depicts an environment that is well suited to CAVs. The quality of road markings is high, the weather conditions are fair and there is good digital connectivity.
This rural environment is very poorly suited to safe CAV navigation due to surface water, poor visibility, poor maintenance and poor digital connectivity.