T0560 Impact of automated vehicles on the motorway network

Award outcome

Description

A written report that will provide National Highways with the following outputs: 1. Identify what the roles and responsibilities National Highways will have to adhere to once the Automated Vehicles Bill becomes law, taking account of any other AV (SAE levels 3-5) related legislation or regulatory requirements. For example, defining what is meant by AVs (SAE levels 3-5) having to take the road 'as is'. 2. Provide an initial list of foreseeable motorway hazards to which a self-driving vehicle might legitimately have to respond, considering also available incident data and supporting information (vehicle types, vehicle miles travelled, severity of incident etc.), and the risks that they could present to National Highways as the responsible road authority, including risks associated with the interactions between AV's and motorcycles. 3. Investigate the typical characteristics of 'good' and 'bad' human driving (including HGV's) and how these might necessarily differ for a self-driving vehicle, and what impact this would have on National Highways responsibilities. Consultation with the DVSA will be required on this output. 4. Examine how the vehicle operational design domain (ODD) for ALKS and other vehicle safety features (current and planned) maps to National Highways' motorway network. How the ODD might expand over time, and the impact that would have on the risks linked to managing AV's on the motorway. For example, how should an AV behave when it cannot continue on a motorway. 5. Propose a process that National Highways should adopt to take our roles and responsibilities forward, clearly identifying the who, what, and how this would be run internally. For example, protocol for dealing with a stopped AV. 6. Consult with appropriate stakeholders to establish what their roles will be in supporting National Highways implement their legal responsibilities to managing AV's on the motorway network. To include CCAV, DVSA, VCA, recovery operators, police, and OEM's.

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