Safely Advancing Vehicle Automation On Roads
The Greater Cambridge region has achieved growth and success on an international scale, but high commuter demand has led to issues of congestion and poor air quality. The Cambridge Autonomous Vehicle strategy details opportunities to use AVs to tackle these problems. Project Connector will undertake an at-scale trial of on-demand self-driving vehicles with up to 13 self driving vehicles providing passenger services that integrate with existing transport services within Cambridge. Services will operate on two sites where there are identified opportunities: Cambridge University’s West Cambridge Campus and the Cambridge Biomedical Campus. Self-driving vehicles will leverage a 5G connected Remote Monitoring and Tele-Operation service to enable a cost-effective deployment that ensures complicated edge cases can be accommodated through temporary override of vehicle automation.
Conigital have expertise in automating vehicles and providing supporting systems that enable their user as part of large operations. Conigital’s role comprises:
Project lead & management
Remote Monitoring and Teleoperation (RMTO) System
AV refinement to support targeted operational areas and RMTO
Provision of AV enabled vehicle and software stack
Assessment on Public Road
Passenger booking and scheduling system
The project team has partnered by Stagecoach, one of the UK’s largest bus operators. The team at stagecoach will support day to day operations, advise on operational improvements and work strategically to understand where else this technology could be used within their extensive network.
Project Partners dRisk and IPG will be testing the safety and applicability of the autonomous technology before it hits the roads. This will enable us to test the limits of the system and develop accurate safety documentation. Simulation is a key element to proving safety, particularly for the significant amount of edge cases there are in the real world and partnering with dRisk and IPG will reduce the development cycle and vastly improve the technology on the vehicles.
Supporting the human factors assessment around remote monitoring and control and also providing a potential avenue for fleet deployments via local authority transport as well as an on-road assessment site.