Autonomous vehicle PHD research
Complete · United Kingdom
Source: Open Contracting Data Standard (OCDS)
As autonomous vehicle (AV) technologies progress toward real-world deployment, regulatory agencies face the pressing challenge of ensuring that these systems operate safely and in compliance with the driving standards. There is currently a lack of robust, interpretable methodologies for evaluating AV behaviour in both real and simulated environments—particularly in edge-case scenarios that pose
- Status
- Closed
- Sector
- Automotive, Education
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Tender Information
Participants
| Not available for this record. |
Status
Original status | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | As autonomous vehicle (AV) technologies progress toward real-world deployment, regulatory agencies face the pressing challenge of ensuring that these systems operate safely and in compliance with the driving standards. There is currently a lack of robust, interpretable methodologies for evaluating AV behaviour in both real and simulated environments—particularly in edge-case scenarios that pose the greatest risk to public safety. To address this gap, the Driver and Vehicle Standards Agency (DVSA) is requesting to co-funding a PhD studentship titled Digital Commentary Driving for Regulatory Compliance and Risk Assessment in Autonomous Vehicles, which aims to develop novel, evidence-based methods for AV validation. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Sector | Automotive, Education |
Article published date | 2026-03-16 |
Research
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