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Project

Future Mobility Innovation

Unit(s) of assessment: Computer Science and Informatics

Research theme(s): Safety and Sustainability

School: School of Science and Technology

Overview

  • Today's vehicles are no longer stand-alone transportation mediums, considering sensor enabled Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) Communications.
  • Currently, 85% of the new cars registered in the UK are connected vehicles and it is projected to be 100% by 2026.
  • A standard connected car has about 100 million lines of programming code in a wide range of Electronic Control Units (ECU).
  • UK government's policy "The Key Principles of Cyber Security for Connected and Automated Vehicles" will be coming into force in the next 5 years.

Future Mobility Innovation Lab (MI) is aiming to innovate next generation technologies for future mobility solutions focusing on safety, security and sustainability in partnership with National Edge AI Hub, industries, and transport authorities.

Addressing cyber threats in connected mobility systems and their implications given the AI penetration and V2X advancement, is the core of MI Lab innovations in collaboration with Industries:

  1. Innovation: Safety, Security and Sustainability in future mobility solutions.
  2. Impact Partnership: National Edge AI Hub, NTU,  Industries, and Transport Authorities.
  3. Challenge: AI penetration and V2X (Vehicle to Everything Communication) Advancements.
 
Auto-Pod: Self-Driving and Connected Vehicle Research

The Auto-Pod research and development team of the Department of Computer Science, Nottingham Trent University, led by Dr Omprakash Kaiwartya, focusing on improving trustworthiness, cyber resilience, and vehicle-to-everything (V2X) communications in the auto-pod. The vehicle uses a number of cutting-edge on-board sensors and cameras that immediately responds to road conditions, nearby other vehicles and pedestrians in its immediate vicinity.

Collaboration

The MI Lab@NTU team is led by Dr Omprakash Kaiwartya and co-led by Professor David Brown.

Dr Omprakash Kaiwartya has expertise in networking and cyber security around Connected Vehicles. He is internationally well-known connected vehicle researcher who has published over 150 research articles in the area with 7000+ citations. He works closely with industries to solve emerging network and cybersecurity challenges in connected vehicles.

This research involves collaboration from industry partners including Aurrigo (UK’s leading connected and autonomous vehicle manufacturer), Methodica Technologies (vehicular embedded technology consulting firm), and JMVL Limited. The research is supported by grants from National Edge AI Hub, the Innovate UK, industries and Impact Accelerator fund NTU.

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