We're currently welcoming paper submissions
To be a part of the Transport AI 2025 Agenda, please submit a paper.
Queries? Please contact Juliana O'Rourke.
Why attend Transport AI?
Transport AI UK will provide a one-stop shop for understanding the opportunities and challenges of AI:
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a platform for attendees to gain insights on which AI-powered products, services and tools can deliver now to help local authorities and consultants
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the AI development curve: how to use AI to add value by time-saving, cost-saving and automating routine tasks
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a look ahead to coming innovation: planning an AI readiness strategy
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understanding of the resourcing, procurement, human and ethical factors that will underpin the development and take-up of AI across the transport sector
Who you will meet
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Transport Planning & Policy Officers
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Traffic & Highways Engineers
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Chief Information Officers
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Chief Digital Information Officers
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Information Technology Officers
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Directors for Data
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Directors of Digital & IT
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Cyber Security Officers
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Heads of Data
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Chief Data Officers
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Directors of Analytics
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Data Engineers / Specialists / Analysts
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Security Engineers
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Information Security Analysts
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Data Scientists
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Heads of Innovation
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Chief Innovation Officers
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Innovation Managers
5 February 2025 Programme
The programme is currently under development
09:00
Registration opens
09:30
Pendulum Suite
Morning plenary: How AI will transform transport – leveraging AI & data for integrated multi-modal journeys
Alex Mindell, Head of AI and Autonomy, Department for Transport
Darren Capes, ITS Policy Lead, Department for Transport
Thomas Ableman, Founder, Freewheeling
Llewelyn Morgan, Head of Innovation, SYSTRA
11:00
Pioneer Room
Morning Break: Tea & Coffee served
11:30
Pendulum Suite
Data innovation
Building the cloud foundation for geospatial, digital twins and AI
Stuart Lester, Head of Transport Data, TfWM and Adam Nudds, Principle GIS Analyst, TfWM
Rail data, AI and integration
Richard Carr, Technical & Innovation Director, Railway Industry Association
Exploring the potential of geospatial foundational models in transport
Aditya Sivanand, Principal Data Scientist, Department for Transport, Sarah Knight, Head of Organisational AI and Data Science Engagement, Department for Transport and Annette Smith, Technical Director, Mott MacDonald
AI and data innovation in the workflow
Ben Taylor and Adil Zaheer, Senior Developers, Transport for the North
Cotton Theatre
Overcoming barriers to AI adoption
Session led By DfT and TRL
Graphene Suite 1
Real-world AI in action
Using AI to improve junction safety
Angus Spence, Senior Consultant & Caroline Broughton, Principal Spatial Data Scientist, SYSTRA
Improving bus services with AI
Tim Rivett, General Manager, RTIG-Inform
Real-time AI info for improving public bus safety
Rachel Birrell, Bus Safety Development Manager, Transport for London
AI for rural logistics
Dr Arijit De, Associate Professor in Management Science, University of Manchester
AI-driven mobility: pioneering innovations
Dr Haitao He. Director, TRansport AI innovation CEntre (TRAICE) Loughborough University
Graphene Suite 2
Citizen and customer engagement
13:00
Pioneer Room
Networking Break: Lunch served
14:00
Momentum Theatre
Innovation showcase and demo sessions
This afternoon session will offer a fast-moving series of simultaneous discussion platforms for knowledge-sharing, demonstrating tools, products and services, and getting advice from AI experts
Table 1: Practical integrations of autonomous vehicles into public transport
James West and Gavin Jackman, Padam
The HertsLynx CAM On-Demand project analysed the potential for autonomous buses to deliver on-demand services to Maylands Business Park in Hertfordshire, synthesising transport demand data and CAV-appropriate routing to connect two stations which are otherwise poorly connected with the business park.
This presentation will explore routes that are now viable for current and near term ready AVs, how demand for these routes can be projected and the optimal fleet and timetable combination of on-demand and fixed line buses to be viable. It will also explore the Sustainicity open access toolkit for calculating ROI for automated bus services.
Table 4: Optioneering transport interventions
Andrew Sherwin, Public Sector Lead & Joe Leach,
Senior Engineer,
SimAnalytica
SimAnalytica is a software solutions provider applying advanced data science and AI to accelerate decarbonisation and build climate resilience. Our applications automatically connect disconnected data and integrate siloed analytics to empower decision makers to take a systems view of place – so enabling limitless optioneering spanning transport, environmental, energy, carbon and major infrastructure programmes.
Table 2: Using AI to take citizens on the transport journey
Oliver Deed, Managing Director, ECF
This talk will look at the future of citizen engagement and provide an overview of the user-centric tools that have emerged in the past few years, and how these are being applied to world of active travel in particular. The talk will run through tools like Hello Lamp Post, Beta Streets, Dembrane and Digital Urban, and speak to how these are enhancing an organisation's ability to reach a diverse range of the citizenry, in the pursuit of dialogue, rather than conflict. These tools are being pioneered successfully by the local authorities such as Newham Council
Table 5: A game-changing data platform
Iona Chandler, Partnership Manager, UrbanTide
Mass urbanisation and global sustainability challenges are forcing organisations to turn to their data.
Our software lets you unlock, integrate and share your siloed data from any source, so you can unleash the potential of AI to provide solutions.
Table 3: An AI solution to manage national street lighting sssets
Steve Isaacs, Asset Manager, univrses, WSP and Highways England
In 2023 Highways England identified a need to improve its street lighting inventory. Highways England engaged with WSP as their street lighting consultants. WSP linked with Univrses, a Swedish computer vision and AI company and together the three parties have facilitated and developed a unique solution
Table 6: AI for model generation in transport
Darren Chitty, Research Fellow, University of Exeter
Currently, traffic modelling is a lengthy process that requires significant human intervention to build complex models. Using case studies, this talk will explore automating many of these challenges using AI. It will look at the challenges in sourcing appropriate models and data; the wide range of potential machine learning and optimisation algorithms and explain how actionable insights and tools can be delivered from the application of AI.
15:30
Pioneer Room
Afternoon Break: Tea & Coffee served
16:00
Pendulum Suite
Closing Plenary: AI and practical procurement
Insights on AI readiness for Local Transport Authorities
Graham Kirby, Head of Data Modelling and Appraisal, Transport for the North
Followed by panel with speakers from:
DfT
ITS UK
Transport Technology Forum
Tech UK
PA Consulting
17:30
Pioneer Room
Networking Drinks: A selection of alcoholic and non alcoholic beverages served
Delegate rates
Private Sector Delegates
1st Delegate from your organisation
£379 + VAT
Each Additional Delegate
£329 + VAT
Public Sector Delegates
1st Delegate from your Local Authority
£279 + VAT
Each Additional Delegate
£229 + VAT
Charities and 3rd Sector
Academics, Charities, 3rd Sector
£279 + VAT per person
Supported places for key Public Sector specialists
This event has been specially designed for those at the sharp end of decision making within local government departments.
As such, a number of free places have been made available for information, data and security practitioners working in national and local government department.
If you work in one of the following job functions, a free ticket awaits:
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Chief Information Officer
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Chief Digital Information Officer
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Information Technology Officer
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Director for Data
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Director of Digital & IT
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Cyber Security Officer
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Head of Data
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Chief Data Officer
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Director of Analytics
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Data Engineer / Specialist / Analyst
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Security Engineer
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Information Security Analyst
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Data Scientist
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Head of Innovation
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Chief Innovation Officer
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Innovation Manager
Sponsorship and exhibition enquiries
For sponsorship and exhibition enquiries please contact Daniel Simpson on 0207 091 7861 or email daniel@landor.co.uk