Data Driven Transport Networks
Data Driven Transport Networks
Wednesday 30th April 2025 at 12:00 pm GMT
Webinar showcasing how data and AI can optimise transport networks, enhance efficiency, and shape the future of mobility.
In Partnership With
In Partnership With
What you will learn
What you will learn
Increase your chances of delivering successful data and AI initiatives by learning from, and building on the experiences of others.
Hear from peers, experts and academics working in the public sector transport industry as they share real examples from projects they have undertaken, including:
- the approaches they took
- the lessons they have learnt
- the benefits they have realised
Experience a working AI demo to see how improvements in insight generation and decision making can be realised through the deployment of the AI.
Register to attend
By submitting, I agree to the processing of my personal data by synvert TCM in accordance with our Privacy Policy. I understand that I can update my preferences at any time.
Register to attend
Agenda
Welcome
Presentations:
- Setting your transport data programme up for success
- Key learnings from TFGM’s bus franchising data programme
- AI demo, deriving insights and value from your travel data
- Achieving real time, data driven, transport decision making
Q&A
Our speakers
Our speakers
Haitao He
Loughborough University
Haitao is an Associate Professor / Reader at the University of Loughborough, and a Director within, TransHumanity an AI solution provider that is making advanced transport data analytics accessible to non-experts, empowering smarter, data-driven decisions for everyone. He will provide a demonstration of their tool TraffEase.
Martin Bell
Transport for Greater Manchester
Martin Bell has been with TfGM for 13 years, focussing on creating customer-oriented solutions to enhance sustainable travel. He has been instrumental in implementing contactless Pay-As-You-Go systems and developing the Bee Network App for integrated travel. His work has significantly contributed to improving public transportation in Greater Manchester.
Antony Melvin
synvert TCM
Tony has been leading synvert TCM's data programme with TFGM and will be sharing the knowledge, insights and learnings he has gained from this, and other deliveries he has overseen. Specifically focussing on how you can set your programme / initiative up for success, and how you can phase the delivery of it over time.
Simon Dale
Nottingham City Council
Dr. Simon Dale is the Lead for Highway Metrics at Nottingham City Council, driving innovative transport solutions. His doctorate focused on the impact of Nottingham’s Workplace Parking Levy, contributing to academic research on mode shift. Simon is a Visiting Research Fellow at Loughborough University and leads the £16.7 million Future Transport Zone project in partnership with Derby City Council.
