Completed Engineering Computing & AI

HumanDrive

In plain English

AI plain-English summary

A Nissan Leaf will drive itself on British country roads, roundabouts, and motorways by 2019, mimicking human driving behaviour rather than following rigid, robotic paths. Most autonomous vehicles struggle with the nuanced, unpredictable decisions human drivers make—judging when to overtake on a narrow lane or how to merge smoothly onto a roundabout. This project, called HumanDrive, aims to fill that gap by building an AI that learns from human driving patterns, not just from maps and sensors. The goal is a car that feels natural to its occupants, not jerky or hesitant. If successful, the impact could be felt in two ways. First, passengers in Level 4 autonomous vehicles—cars that can drive themselves without human input in defined conditions—would have a more comfortable, less nauseating ride. Second, the project will test how such vehicles interact with the UK’s Strategic Road Network, feeding data to Highways England and Milton Keynes Council about traffic flow, safety, and infrastructure demands. This could quietly reshape how roads are designed and managed. The consortium includes Nissan, Hitachi, Cranfield University, and others, with Atkins and SBD handling cybersecurity. The vehicle will be demonstrated on a real route.

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The project will build an autonomous vehicle with human like, natural control / path planning, by 2019, that 1) is able to be fully autonomous on country roads, when overtaking, on roundabouts and/ or motorways 2) mimics the driving behaviour of human beings, to provide an enhanced experiences for the occupants. Nissan and Hitachi will use their global automotive, artificial intelligence/ machine learning and communication technology expertise to build vehicles and AI models that are fit for purpose, and use the expertise of Horiba MIRA, Cranfield University and the University of Leeds to ensure the system is validated and end-user acceptance is evaluated. Atkins and SBD will address protective security, making the vehicle digitally and physically secure. The Transport Systems Catapult will be responsible for project management and development of safety aspects of the project. The impact of L4 vehicles on the Strategic Road Network will be explored through work by Highways England and TSS. Highways England and Milton Keynes Council will provide support to the demonstration route of the vehicle.

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Related Research

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Hybrid intelligence for advanced collective perception and decision making in complex urban environments

Original classification

Collaborative R&D

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