The project assesses the viability of an online, real-time route planning dashboard, providing optimisation suggestions and scoring visualisations, primarily focussed on remote control and semi-autonomous electric vehicles.
CAM Pathfinder - Feasibility Studies
Opt Tech 4 Auto & RC
Introducing the Opt Tech 4 Auto & RC Project, assessing the feasibility of end-to-end real-time route planning software capability
About the project
Project objectives
Objectives for this project include the following:
- Merge and enhance diverse data sources using AI-driven techniques to improve data quality and accessibility for infrastructure assessment.
- Develop advanced AI algorithms to optimise routes for CAM vehicles considering real-time conditions, infrastructure quality, and time constraints.
- Create interactive visualisation dashboards with infrastructure readiness heat maps, safety assessments, and AV compatibility ratings accessible to multiple stakeholder groups including fleet operators, local authorities, and transport planners.
- Develop dynamic route scoring visualisations based on real-time conditions, infrastructure suitability, and autonomous vehicle operational requirements.
- Enable evidence-based infrastructure investment prioritisation supporting government bodies in implementing UK Automated Vehicles Act 2024 safety frameworks.
Project consortium
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Atera Analytics
Opt Tech 4 Auto & RC is funded by UK Government, as part of the CAM Pathfinder Programme. CAM Pathfinder is delivered by DBT’s Connected and Automated Mobility (CAM) team, in partnership with Innovate UK and Zenzic
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