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New national initiative to educate the public on automated vehicles (AVs)

Today (Wednesday 21st February 2024), WMG at The University of Warwick, has launched the Partners for Automated Vehicle Education United KingdomPicture shows Professor Sarah Sharples, Chief Scientific Adviser at the Department for Transport delivering a keynote at the PAVE UK launch event (PAVE UK) with the Department for Business and Trade, the Department for Transport, the Centre for Connected and Autonomous Vehicles (CCAV), and Transport for West Midlands, as its founding partners.

The PAVE UK initiative aims to build public confidence in self-driving technology through a programme of education and engagement, supporting the UK Government’s ambition to safely deploy self-driving vehicles on the road and its aim to make the UK the leader in artificial intelligence (AI).

Picture shows Anthony Browne, Technology and Decarbonisation Minister - keynote speaker at the PAVE UK launch eventy’s launch event.PAVE UK is the country’s first non-governmental organisation that advocates for and delivers public education and engagement programmes on automated vehicles. It launched today at the Royal Automobile Club in London, with Anthony Browne MP (Technology and Decarbonisation Minister), and Professor Sarah Sharples (Chief Scientific Adviser at the Department for Transport), as the keynote speakers. Over 100 technology developers, safety campaign groups, regulators, innovators, and industry leaders discussed how to ensure the public is engaged in the self-driving technology journey and how to accurately communicate AV safety messages with different stakeholders in society.

Professor Siddartha Khastgir, Head of Verification & Validation at WMG, University of Warwick said: "At WMG, we strive to enhance the safety of self-driving technology and ensure it is safe to operate on the roads. In taking a people first approach, the public should be paramount in the safety conversation and part of the journey during the development and deployment of self-driving vehicles on UK roads.

“PAVE UK will translate technical information into clear, comprehensive and accurate messaging to help communicate safety to the public in an inclusive and accessible manner. Future technology users and other road users will be equipped with the knowledge of benefits and limits of this new transport technology. PAVE UK will also bring together the self-driving ecosystem to tackle the technological challenges, speak honestly and accurately about system capabilities and limitations, and encourage innovators to put the public at the heart of this.”

PAVE UK will work closely with the entire UK Connected and Automated Mobility (CAM) ecosystem, to carry out education and engagement programmes, such as research-based educational materials packs, school outreach activities, community outreach, an online video library, webinars, and an online educational app. The programme will be delivered by WMG at the University of Warwick.

Nusrat Ghani MP, Minister for Industry and Economic Security, said: “The UK automotive sector is at the cutting edge of exploiting new innovative technologies. These have the potential to create jobs, grow the economy and accelerate how we reach net-zero.

“This government has shown time and time again that we're committed to creating the right conditions to boost UK advanced manufacturing, and the PAVE UK initiative will help cement the UK as a world leader in self-driving technology."

Technology and Decarbonisation Minister Anthony Browne said: “Self-driving vehicles have the potential to transform our transport sector, and PAVE UK will be a big part of this by raising awareness and embedding confidence in people throughout the country. In the meantime, we’re making sure that these vehicles are safe to use on our roads. Our Automated Vehicles Bill sets a rigorous standard for safety, whilst making sure that this country is where businesses can develop and deploy their cutting-edge technology.”

Organisations and schools wishing to participate in the programmes can contact PAVEUK@warwick.ac.uk

Ends

Note to editors

Additional quotes

Tara Andringa, Executive Director, PAVE said: "When PAVE was founded in 2019, it was a bet on the power of knowledge: we believed that if the public understands the facts of autonomous vehicles, we will see greater public trust in this incredibly promising technology. Our campaign both seeks to demystify automated vehicles– to explain how the technology works – and to help the public understand how these technologies could help to improve the safety, efficiency, and sustainability of our transportation system.

“While countries and regions have adopted different regulatory approaches to automated vehicles, the challenge of AV education is global in nature. Given the tremendous leadership from the UK both in its approach to AV policy and to civic engagement on the technology, we are incredibly excited for the influential role PAVE UK will play in leading public education. The PAVE ecosystem is thrilled for the launch of PAVE UK, and we will work together to build an engagement campaign that will create a template for AV education worldwide."

Automated Vehicles Bill: https://bills.parliament.uk/bills/3506

About WMG, University of Warwick

WMG is a world leading research and education group, transforming organisations and driving innovation through a unique combination of collaborative research and development, and pioneering education programmes.

As an international role model for successful partnerships between academia and the private and public sectors, WMG develops advancements nationally and globally, in applied science, technology and engineering, to deliver real impact to economic growth, society and the environment.

WMG’s education programmes focus on lifelong learning of the brightest talent, from the WMG Academies for Young Engineers, degree apprenticeships, undergraduate and postgraduate, through to professional programmes.

An academic department of the University of Warwick, and a centre for the HVM Catapult, WMG was founded by the late Professor Lord Kumar Bhattacharyya in 1980 to help reinvigorate UK manufacturing and improve competitiveness through innovation and skills development.

About PAVE UK

PAVE UK aims to bring the conversation about automated vehicles (AVs) to the public so that future users and technology developers can play a role in shaping our future.

By arranging education and engagement programmes around AVs, our goal is to increase the public’s awareness of the capabilities and limitations of the technology and build up societal acceptance and trust in this new transport innovation. We also aim to develop a correct user attitude to foster the safe deployment of AVs.

We strongly believe that by fully and transparently equipping the public with CAM technology knowledge, we could then achieve the potential benefits of the technology.

 

Media contact:

Annie Slinn

Communications Officer (Sciences)

Annie.Slinn@warwick.ac.uk

 

Gabbie Lau

WMG Marketing and Communications Officer (Verification and Validation Research Group)

Gabbie.Lau@warwick.ac.uk


Expert comment from Professor Siddartha Khastgir

Picture of Professor Siddartha KhastgirProfessor Siddartha Khastgir, Head of Verification and Validation at WMG, University of Warwick, comments on the Government’s plans to introduce the primary legislation for automated vehicles in the upcoming parliamentary session, as announced in the King’s Speech today (Tuesday 7th November).

Professor Khastgir said: ‘‘We welcome the Government’s decision to introduce the primary legislation on automated vehicles in the King’s Speech today. Following on from the discussions at the AI Safety Summit last week, this very first legislation on AI-powered technology is an important step for the UK to reach its target of rolling out automated cars in 2025.

“Regulation is the key enabler for the safe introduction of automated vehicles on UK roads. Not only does it provide regulatory certainty for the industry, but it is also key to setting high safety thresholds and gaining the public’s trust. We urge the Government to ensure that the regulatory framework is robust and underpinned by strong research outcomes. International and national self-driving standards should be built upon when creating this legislation.

“We also urge the Government to speed up the secondary legislation on automated vehicles to provide more information on the engineering requirements. The Government needs to ensure public views are incorporated into this legislative journey and take future users’ viewpoints into account. As a result, along with the legislation, a public awareness programme should be introduced to ensure an accurate understanding of the capabilities and limitations of this emerging technology. The Government needs to act quickly to be at the forefront of this technology.

“WMG will continue to fully support the Government and the eco-system to develop research and evidence-based self-driving regulation in the UK.’’

Find out more about WMG’s Verification and Validation research here: https://warwick.ac.uk/fac/sci/wmg/research/cav/vandv/


Expert comment from Professor Siddartha Khastgir

Picture of Professor Siddartha KhastgirProfessor Siddartha Khastgir, Head of Verification and Validation at WMG, University of Warwick, comments on Cruise pausing all driverless robotaxi operations in the US to rebuild public trust.

“Safety is the number one priority when commercialising self-driving vehicles, we should never compromise safety even though this is a fast-paced technology. The industry and autonomous vehicle developers and operators need to have a thorough review of the current incidents and be more open and transparent regarding their safety assurance processes and systems.

“Safety messages and information should be communicated to the public to gradually build up societal trust and ensure that technology users and road users are well-informed about this new technology’s capabilities and limitations.

“As a world-leading research institution, WMG is working closely with international and national policymakers, regulators, and industry to improve the safety of self-driving vehicles. We encourage the ecosystem to collaborate further to gain the public’s confidence in this emerging transport technology.

Find out more about WMG’s Verification and Validation research here: https://warwick.ac.uk/fac/sci/wmg/research/cav/vandv/


WMG research shapes the future of autonomous vehicles

WMG, at the University of Warwick, is part a unique £2 million consortium, entitled Sim4CAMSens.

Picture shows an example of simulated camera data with ground truth - provided by rFproThe Sim4CAMSens project, led by Claytex, is made up of a consortium of prominent industry partners, including AESIN, rFpro, Syselek, Oxford RF, National Physical Laboratory, Compound Semiconductor Applications Catapult and WMG.

Together the consortium will create a framework for sensor evaluation that incorporates modelling, simulation, and actual testing. In order to enable Automated Driving Systems (ADS) and sensor developers to speed their development, this project will involve the development of new models for sensors, noise and materials, and new test methodologies.

The role of WMG will be to understand which noise factors have the higher impact on the different perception sensors (i.e., camera, LiDAR, RADAR,) and how to correlate virtual testing to real-life testing to support the entire supply chain.

Professor Valentina Donzella, who leads the Intelligent Vehicles Sensors research at WMG explains: “The Sim4CAMSens project is an extremely exciting opportunity for WMG, to work with UK based world leading industrial and research partners, to speed up the development of sensors models and testing methodologies. These are key considerations for the future safe deployment of robust and reliable ADS. The success of this project will ensure the UK leads the way globally in this field."

Find out more about WMG’s Intelligent Vehicles Sensors research here: https://warwick.ac.uk/fac/sci/wmg/research/cav/ivsensors

Wed 25 Oct 2023, 15:38 | Tags: Intelligent Vehicles HVM Catapult Partnerships Research

WMG with Solihull Council secure £300,000 for self-driving shuttle feasibility study

WMG at The University of Warwick, Solihull Council, National Highways, Transport for West Midlands, ZF, Aurrigo, Syselek and Liftango have successfully secured £300,000 to deliver a project looking into the feasibility of a self-driving shuttle service in the West Midlands.

The project will explore how a new automated transport link between Blythe Valley Business Park, near Shirley, and the new HS2 rail station in Solihull couldPicture shows an automated self-driving shuttle service operate in the future. The feasibility study will consider all aspects of the technology required in order to provide a safe and reliable automated public transport service between these important commercial centres. The proposed route would use the existing road network travelling along the M42 from Junction 4 and utilise the new Junction 5a currently under construction.

As a world-class research institution with leading capabilities in the verification and validation of safety assurance of self-driving technologies, WMG will apply its Operational Design Domain (ODD) based Safety Assurance research methodologies to the specific project challenges.  

This project is part of the wider Midlands Future Mobility (MFM) initiative, led by WMG. The MFM vision is to achieve zero road incidents, net-zero emissions and inclusive transport in the West Midlands. MFM enables stakeholders from across mobility to address the interlinked challenges of technology, policy, and behaviour to realise the vision.

Cllr Ken Hawkins, Solihull Council Cabinet Member for Environment & Infrastructure, said: “Connected Automated Vehicle (CAV) technology has the potential revolutionise the way we get around our towns, cities and rural areas. Working with our partners we are excited to be undertaking this latest project.

“We’ve already carried out a series of successful pathfinder trials here in Solihull, using our own automated shuttle, and have led the way in showing how it is possible to practically and safely incorporate automated vehicles into our existing transport infrastructure. We are now taking the next step and undertaking the vital feasibility work necessary in order to start thinking about more ambitious deployments and establishing new commercial public transport services.

“The outcomes from the study are likely to inform self-driving mobility challenges not just here in Solihull but nationwide.”

Jonathan Smith, Midlands Future Mobility Programme Manager said: "The business case for scaling new mobility solutions is complex. It involves a granular understanding of the use case, safety, users, operations, and infrastructure. This project brings together a group of diverse experts to apply state of the art research and knowledge to address this question. Of critical importance is that the outcomes of this feasibility will inform mobility business cases both in the Midlands and the UK as a whole."

More information about this project

Partners: Solihull Metropolitan Borough Council (Lead), Aurrigo, Syselek (Uk) Ltd, Liftango Ltd, ZF Services UK Limited, West Midlands Combined Authority, Highways England, University of Warwick

Grant awarded: £300,000 (£197,664 from Centre for Connected and Autonomous Vehicles’ Commercialising Connected and Automated Mobility programme and balance is made up by the commercial partners).

Find out more about WMG’s Validation and Verification research here: Verification and Validation (warwick.ac.uk)

 

Note to editors

Media contact:

Annie Slinn

Communications Officer (Sciences)

Annie.Slinn@warwick.ac.uk

 

Gabbie Lau

WMG Marketing and Communications Executive

Gabbie.Lau@warwick.ac.uk


Self-driving cars will be part of the future – but researchers fear we are leaving the disabled behind

Picture shows of how driverless vehicles may look on the highwaySelf-driving cars will be part of the future, but researchers fear people with disabilities are being left behind in the development of the technology.

Over the past two decades, transportation has become more accessible, but people with disabilities still face significant barriers to accessing these services. While self-driving cars (also known as autonomous vehicles) have the potential to dramatically improve the lives of those with disabilities, helping them to travel independently, experts fear their views are being neglected in the development of the new technology

To address this, researchers from WMG at The University of Warwick and leading disability charities have considered the impact of self-driving taxis on people with disabilities, an area that has seen limited improvement over recent years.


They found that the absence of a driver was strongly correlated with feelings and perceptions of increased travel freedom, indicating that autonomous taxis could provide greater accessibility for those with disabilities – without the limitations or biases associated with their current experiences with traditional taxis and drivers.


The team also considered current issues people who have disabilities face with transport – particularly in booking taxi journeys. Participants expressed concerns about driver attitudes and behaviour as negative experiences with traditional taxis.


Lead author Shravani Sharma, PhD Researcher, WMG, University of Warwick, said: “Our research highlights the current issues those with disabilities face when booking taxis – with many reporting that their trips have been cancelled due to their use of a wheelchair. Drivers might feel the extra time wheelchairs add to journeys would reduce their earnings. While there are laws in place preventing black cab drivers cancelling journeys for those with wheelchairs – there are no such laws for other companies.

“Self-driving taxis could provide those with disabilities more freedom and reduce fear of discrimination. So, it’s crucial we listen to their opinions in developing the technology.

“We worked with charities including CASBA (Citizen Advocacy South Birmingham Area), which supports people with learning difficulties, Royal National Institute of Blind People (RNIB) and Cerebral Palsy Midlands to name a few, providing a wide range of voices and expertise. This represented many different visible and non-visible disabilities – including blindness, mobility problems, hearing loss, cerebral palsy and ADHD amongst others. The perspectives of more than 39,000 different organisation members were included.

“Alongside the current problems those with disabilities face when booking taxis, we highlighted their concerns for future, self-driving taxis. The main concern was the availability of human assistance to meet specific user needs throughout the journey.”

Examples of concerns for future, self-driving taxis:

  • The challenges faced by individuals in wheelchairs when attempting to enter a car without assistance are multifaceted. Tasks include placing their wheelchair inside the car, securing themselves within it, disassembling and carefully navigating the wheelchair upon departure.

  • For those with visual impairments, the struggle lies in identifying their vehicle within a crowded setting, such as a bustling railway station.

  • The loss of social interactions and the light-hearted atmosphere during journeys. Many individuals with disabilities unfortunately contend with feelings of loneliness and isolation, making everyday conversations a vital source of companionship and comfort throughout their journey.


Shravani added: “It is also important that manufacturers consider the wide range of disabilities and the intricate needs for passengers – remembering that not all disabilities are visible.”

Dr Roger Woodman, Head of Human Factors, at the University of Warwick, said: “Self-driving vehicles will open up driving to people that have never been on their own in a vehicle before. It has the potential to transform their lives – with reduced reliance on others to help them get from A to B.

“Driving is a very complex task to complete, so self-driving cars could enable someone with a disability, for example, cerebral palsy or tremors, to simply press a button and go.


Ginny Cullen, CEO of CASBA, added: “CASBA exists to ensure people with learning disabilities speak up for themselves, express their views, make their choices, and are valued as citizens. We were therefore delighted to have had the opportunity to be included in this research on new autonomous vehicles to ensure driving is accessible to all.”

CASE STUDIES – both available for media interviews upon request

Jen Brown
“I have a lot of trouble with the buses. I use a walker and they don’t lower the bus, making it very hard for me to get on and off.


“I had a lot of stress with a taxi company. I often travel from Kingstanding to Northfield. The taxi company didn’t want to take the job and sometimes cancelled, leaving me stressed and late for work. Sometimes I was not able to get home from work.

“I went to a food show in November, when I got to the station the lift was out of order. I walked round the station looking for staff to help, no one and there was no one in the office. I phoned mom and dad see if they could find a number. I had to end up putting my walker on the escalator which was very dangerous.

“I nearly got locked on the train once. I have regular visits to the Severn Valley Railway and am used to the journey. When got to Snow Hill the train stopped, and I thought it was waiting for the signal. People started to get off the train, and I didn’t know why, I decided to get off and just as I did the lights went off and the doors closed. It said on the screen it was cancelled and with my hearing impairment I couldn’t hear the announcement.

Jen added her thoughts on what difference self-driving taxis would make to her life. She said: “When I finish work, I feel very tired and don’t want to talk. I just want to relax on my way home. Also, with my hearing impairment if the windows are open, I can’t hear the driver and just guess as what he is saying. Self-driving taxis would cause me less stress and worry as I wouldn’t have to worry about what the driver is saying to me.”

Michaela Mooney
“I think some people misjudge invisible disability. I may look like I can do things like everyone else but it has a high energy cost for me; my joints hurt and sometimes dislocate so when there's no seats on a bus it can be a struggle. I fall over a lot, sometimes slam doors by accident and when people don't understand what happens it can be hard mentally and physically. I think a self-driving car would mean more independence as you don't have to depend on someone to get around.”

Notes to Editors

Shravani’s research also highlights:

  • This is the right time to involve many such organisations that work with people with disabilities to understand user needs via consultations, pilots, and testing.

  • Presently, autonomous vehicles and other transport related studies primarily focus on addressing physical disabilities. This emphasis is evident even in signage, consistently featuring wheelchair symbols. However, the breadth of this spectrum encompasses a wide array of conditions. Consequently, it is imperative for brands to acknowledge and cater to these varied requirements and this research can be a basepoint for such engagements.

  • This type of research of understanding user-specific needs and requirements will be useful for many such emerging technologies for the equitable rate of adoption to reach the overarching goal of inclusivity and accessibility.

  • Future research will also consider more intelligent human machine interaction that can have a social touch to it, for example, personalised conversation nuances, or even adding diverse accents to computer generated voices.
Fri 22 Sep 2023, 14:34 | Tags: Intelligent Vehicles Research Human Factors

WMG and Wayve received substantial government funding to research and develop AI safety in self-driving vehicles

  • WMG at the University of Warwick and leading self-driving technology developer Wayve have received £1.9 million in government funding to lead a research project on AI safety in self-driving vehicles
  • This pioneering project, DriveSafeAI, aims to develop scalable methodologies and mechanisms to prove that the use of AI is safe for self-driving vehicles, which national and international self-driving vehicle developers can adapt the findings to their technology developments
  • The project supports the UK government’s ambition to make the UK the leader in AI and its vision of deploying self-driving vehicles in 2025

WMG at the University of Warwick and leading self-driving vehicle technology developer Wayve have been awarded £1.9 million to undertake research toPicture shows the National Automotive Innovation Centre at the University of Warwick ensure the safe use of AI in self-driving vehicles.

This project, DriveSafeAI, is taking the initiative to research and develop scalable mechanisms and methodologies to prove that AI is safe to use in self-driving vehicles. WMG is a world-class research institution with internationally recognised research capabilities in safety assurance of self-driving technologies, combined with Wavye’s expertise in developing end-to-end machine learning for self-driving, a set of evidence- and data-based methods and tools will be developed and made available for global self-driving developers to test their technologies. The research result will help shape the UK's policy and regulatory framework for AI in the future.

Self-driving vehicles can potentially bring £42 billion in economic benefits to the UK. Proving the safety of AI is a crucial step to unlocking this huge market. However, currently, there is no internationally or nationally agreed methodology in place to prove AI is safe to use in self-driving technologies, which hinders the commercialisation of self-driving vehicles. Therefore, this project will create a solution for AI safety assurance and develop societal trust in AI and self-driving technology.

More information about the DriveSafeAI project and the funding

DriveSafeAI is part of CCAV’s Commercialising CAM Supply Chain Competition (CCAMSC).

The Commercialising CAM programme is funded by the Centre for Connected and Automated Vehicles, a joint unit between the Department for Business and Trade (DBT) and the Department for Transport (DfT) and delivered in partnership with Innovate UK and Zenzic.

The £18.5m CCAMSC competition was launched in October 2022 to support the deployment of self-driving vehicles, by strengthening the capabilities of the sovereign UK CAM supply chain and is part of the Government’s vision for self-driving vehicles. Connected and automated mobility 2025: realising the benefits of self-driving vehicles.

Alex Kendall, CEO and Co-founder of Wayve, said: "At Wayve we know that confidence in our technology is crucial to commercialisation and widespread adoption of self-driving vehicles. Leveraging AI, we have the chance to bring the benefits of self-driving vehicles to everyone’s door. But first, securing trust in AI is paramount.

"That’s why we’ve been working closely with government and academia to ensure the methodologies we use to evidence safety are clear and trustworthy. Today, we’re excited to announce a formal partnership with WMG, University of Warwick, global leaders in the safety of artificial intelligence and autonomous systems. DriveSafeAI will give the public and policymakers confidence in this technology, which has the potential to revolutionise transport."

Picture shows Professor Siddartha KhastgirProfessor Siddartha Khastgir, Head of Verification & Validation at WMG, University of Warwick, said: "AI – and particularly embodied AI – like self-driving vehicles, is one of the biggest topics currently discussed in society. Deploying this technology safely is essential to realising the huge opportunity AI can offer society.”

“At WMG, through DriveSafeAI we are excited to be partnering with Wayve, a leader in self-driving vehicle technology, to help shape the safe AI landscape in the UK and globally.”

“We believe the safety of this technology needs to be proven collaboratively, in a scalable manner and that future policy should have strong research foundations."

Note to editors

About Wayve

Wayve is on a mission to reimagine autonomous mobility through embodied intelligence. Founded in 2017, Wayve is made up of a global team of experts in machine learning and robotics from top organisations around the world. We were the first to deploy autonomous vehicles on public roads with end-to-end deep learning, pioneering the AI software, lean hardware, and fleet learning platform for AV2.0: a next-generation autonomous driving system that can quickly and safely adapt to new driving domains anywhere in the world.

Wayve has raised over $258M and is backed by Eclipse Ventures, D1 Capital Partners, Baillie Gifford, Moore Strategic Ventures, Balderton Capital, Virgin, and Ocado Group. The team is based in London and California, with a fleet of vehicles testing in cities across the UK. Wayve aims to be the first to deploy autonomy in 100 cities. To learn more, visit www.wayve.ai.


International experts developed the foundational ISO standard for the safety of self-driving vehicles

Picture shows ISO membersA new international standard has been published which lays the foundations for safe deployment of self-driving vehicles by creating a common approach to define the operating conditions of self-driving vehicles, which is also known as the Operational Design Domain (ODD) (i.e., operating conditions).

Led by Professor Siddartha Khastgir from WMG, University of Warwick, UK, and supported by an international group of experts, the very first international standard for safe operation of self-driving vehicles, Road Vehicles — Test scenarios for automated driving systems — Specification for operational design domain – ISO 34503 has been published. This standard will be relevant to every self-driving vehicle developed and manufactured anywhere in the world. The new standard is based on BSI PAS 1883, developed by BSI the UK National Standards Body.

In simplistic terms, ODD is a definition of where your self-driving vehicle is going to operate. This standard provides specifications for defining these operating conditions in a common manner.

The standard classifies ODD into three key categories:Picture shows examples of standards research

· Scenery elements: non-movable elements (e.g., roads, bridges, traffic lights),

· Environment conditions: weather and other atmospheric conditions; and

· Dynamic elements: all movable objects and actors.

The importance of the concept of ODD is highlighted in the latest European Union’s Act on Automated Driving System (adopted in Aug 2022) which puts the concept of ODD as a cornerstone of the safety assurance process of an automated vehicle. Similar approaches are being considered at the upcoming regulations at United Nations Economic Commission for Europe.

This international standard is a big step to facilitate the commercialisation of self-driving vehicles in a wider global society while also safeguarding the safety of this emerging technology. International organisations and local governments or regulatory agencies can use this standard as a guide to develop their regulations and policies on self-driving vehicles. Autonomous vehicle developers and manufacturers around the world can now design and test their technology based on internationally aligned safety benchmarks, create accurate marketing and communication materials, and build societal trust in the technology.

WMG in collaboration with BSI committee AUE/15 Safety related to vehicles, worked with global partners in countries such as United States, Germany, Japan, China, France, Austria, Canada, Israel, Sweden, Finland, South Korea, Australia, to develop and finalise the ISO standard for the safety of automated vehicles.

Professor Siddartha Khastgir, Head of Verification & Validation, Intelligent Vehicles said:

“Defining the Operational Design Domain is the first step in designing a safe self-driving vehicle. Furthermore, due to the diversity in stakeholders in this ecosystem (e.g., developers, regulators, local authorities etc.), it is essential we have a common way to define such a fundamental concept of safety.

“Successful standardisation efforts are only possible with true international collaboration. I am grateful to experts from various countries worldwide who have engaged and contributed actively to this standard. I am pleased to see more efforts kick-starting which building on the concept of ODD and this standard.”

This standardization activity is underpinned by strong research outcomes from the CCAV and Innovate UK funded OmniCAV research project by WMG; and also, by the research conducted as part of Professor Khastgir’s UKRI Future Leaders Fellowship.

Nick Fleming, Associate Director, Transport and Mobility, BSI said:

“It’s exciting to see the launch of this new international standard, given the potential benefits that can be realized by testing automated vehicles so they can operate safely on our roads. Having a common language to describe the Operational Design Domain (ODD) of an automated vehicle, with the ODD effectively describing the environment and conditions that an automated vehicle is capable of operating in, will be valuable to test and deploy these vehicles safely.

“This new ISO standard has been inspired by the UK document, BSI PAS 1883:2020, the first taxonomy for ODDs developed in conjunction with UK experts and the government’s Centre for Connected and Automated Vehicles (CCAV).

“BSI would like to thank Professor Khastgir for his effort in helping to lead this work at the international level which, along with BSI PAS 1883, shows the leadership the UK is having in the development of global standardization for automated or self-driving vehicles.”

Sarah Gates, Director of Public Policy at Wayve, said:

“We’re pleased to see the launch of this new international standard. The concept of ODDs is the basis of deploying self-driving vehicles safely. A common way of describing ODDs across industry is therefore vital for creating the highest safety standards, bolstering public trust and supporting the regulatory frameworks required to commercially deploy self-driving technology on a global scale.

“We look forward to continuing to work closely with WMG to ensure that safety standards for self-driving technology are rigorous, and to increase confidence in the exciting technology we’re developing here at Wayve, which will unlock a safer, smarter and more sustainable transport system.”

ISO 34503 was developed by ISO technical committee ISO/TC 22/SC 33 Vehicle dynamics, chassis components and driving automation systems testing.

It can be purchased from your national standardisation body or through the ISO Store.

This standardisation activity is underpinned by strong research outcomes from the CCAV and Innovate UK-funded OmniCAV research project by WMG; and also, by the research conducted as part of Professor Khastgir’s UKRI Future Leaders Fellowship.

NOTE TO EDITORS: Link to ISO 34503: https://www.iso.org/standard/78952.html

Media contact: Annie Slinn, Communications Officer (Sciences), Annie.Slinn@warwick.ac.uk | Caitlin Evans, WMG Marketing and Communications Executive, Caitlin.Evans@warwick.ac.uk

Wed 16 Aug 2023, 09:55 | Tags: Intelligent Vehicles Research Autonomous Vehicles

Project workshop addresses cyber-security in connected and autonomous mobility

Picture shows the AirQKD project trial at the University of Warwick campusResearchers from WMG, at the University of Warwick, were pleased to welcome partners and guests to a live trial and project workshop on the AirQKD project.

AirQKD addresses the cyber security of Connected and Autonomous Vehicles (CAV) and specifically addresses components, manufacturing, software, and testing for last-mile Quantum Key Distribution (QKD) systems between shared parties for 5G and connected cars.

It is an Innovate UK funded collaboration between BT; Lexden Technologies; OLC; Duality, Bristol University; Fraunhofer Centre for Applied Photonics; Strathclyde University; WMG; Bay Photonics; Heriot Watt University; Angoka; ArQit; Nu Quantum; National Physical Laboratory; CSA Catapult and Edinburgh University.

The trial combines BT’s expertise in building quantum-secure networks using QKD – an essentially un-hackable, cutting-edge technique for sharing encryption ‘keys’ between locations using a stream of single photons) with other new techniques for applying quantum security to mobile devices, developed by UK start-ups Nu Quantum, Angoka and Duality.

On the University of Warwick campus, as part of the Midlands Future Mobility testbed, WMG has created a Vehicle to Infrastructure (V2I) testing facility enabling AirQKD partners’ technology in key management, key consumption, and security protocols to be used for secure communications.

The AirQKD system implements Free Space Optics (FSO) cryptographic key generation and standards-compliant key management. WMG is now managingPicture shows AirQKD project trial on the University of Warwick campus the workstream between telecommunications (4G/5G cellular at BT’s Adastral Park site) and V2I communications on the University of Warwick campus. In combination, these technologies will be used to deliver an ultra-secure link between connected 5G towers and mobile devices, as well as to connected cars.

Find out more about CAV research at WMG here: https://warwick.ac.uk/fac/sci/wmg/research/cav/connectivity/

Read more about AirQKD here: https://warwick.ac.uk/fac/sci/wmg/research/transformation/securecybersystems/projects

 


How road rage really affects your driving – and the self-driving cars of the future

Picture shows driver looking in rear view window to support how road rage really affects drivingNew research by WMG at the University of Warwick has identified characteristics of aggressive driving – which impact both road users and the transition to self-driving cars of the future.

In the first study to systematically identify aggressive driving behaviours, scientists have measured the changes in driving that occur in an aggressive state. Aggressive drivers drive faster and with more mistakes than non-aggressive drivers – putting other road users at risk and posing a challenge to researchers working on self-driving car technology.

The research comes as a leading Detective Chief Superintendent, Andy Cox, warns of the perils of such driving – warning that the four-five deaths on UK roads daily are “predominantly caused by dangerous and reckless drivers”.

The study categorised aggressive driving behaviours and showed the key aspects of this dangerous driving style. Published in Accident Analysis and Prevention, it reported key findings:

  • Aggressive drivers have a 5km/h mean faster speed than non-aggressive drivers;

  • Aggressive drivers also exhibit more mistakes than control groups – such as not indicating when changing lanes;

  • Aggressive driving is categorised as any driving behaviour that intentionally endangers others psychologically, physically, or both.

Lead author of the study Zhizhuo Su, PhD student, across both the Intelligent Vehicles Research Group and the Institute of Digital Healthcare at WMG, University of Warwick, said: “While it’s unethical to let aggressive drivers loose on the roads, participants were asked to recall angry memories, putting them in an aggressive state, while performing a driving simulation. These were compared to a control group, who weren’t feeling aggressive.

“This research is significant because, as the era of autonomous vehicles approaches, road traffic will be a mix of both autonomous and non-autonomous vehicles, driven by people that may engaged in aggressive driving. This is the first study to characterise aggressive driving behaviour quantitatively in a systematic way, which may help the autonomous vehicles identify potential aggressive driving in the surrounding environment."

Roger Woodman, Assistant Professor at WMG and co-author of the study, added: “Over the last few decades, road safety policies, infrastructure changes, and improved vehicle safety have significantly reduced road casualties. However, human error, which is often a result of aggressive driving, remains a leading cause of crashes. To make driving safer, our research focuses on methods for understanding the state of the driver, to identify risky driving behaviours, through the use of driver monitoring systems (DMS). This will enable the driver to be alerted when they are at an increased risk of an accident and allow the vehicle to deploy calming methods, such as altering the cabin noise level, playing relaxing music, or ultimately reducing the speed of the vehicle.”

Detective Chief Superintendent Andy Cox, NPCC lead for fatal crash investigation and OCU Commander at the Metropolitan Police, added: ‘In the UK, on average between four-five people die every single day in a road crash. This widespread devastation is predominantly caused by dangerous and reckless drivers. Having met many bereaved families who live with the lifelong heartache of prematurely losing a loved one in such a violent manner, I recognise the need to instigate substantial change across the road safety sphere; which includes driving culture, standards and legislative options.

“Those drivers who choose to commit road crimes such as aggressive driving, intimidating other sensible and safe road users – should recognise the risk they pose to themselves and others, and frankly the law should remember that a driving licence is assigned after a person demonstrates themselves to be safe and earns the right to drive. We should seek to maintain high standards and ensure the system sees the right to drive as a privilege rather than an entitlement. Currently I think the balance favours the individual rather than the law abiding collective.”

Read the full paper here.

 

Ends

University of Warwick press office contact:

Annie Slinn
Communications Officer | Press & Media Relations | Email: annie.slinn@warwick.ac.uk

 

Thu 13 Apr 2023, 09:58 | Tags: Intelligent Vehicles Research IDH

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