The Transport Revolution : AI solutions delivering operational excellence for a smarter, safer and more sustainable transport infrastructure

Artificial intelligence (AI) is becoming increasingly more important to the management of critical national infrastructure as we search for better economic, social and environmental outcomes from limited public investment.

Advancements in AI over the past decade have ushered in a new era of intelligent data-driven decision-making for predictive maintenance within the transport industry, particularly through the innovative integration of computer vision technology. By scrutinizing extensive visual data captured by onboard cameras, drones and satellites, AI driven digital applications can identify subtle patterns and anomalies, thereby significantly enhancing safety, efficiency, and reliability.

When combined with data science and trusted human oversight, AI applications can facilitate predictive maintenance interventions, effectively pre-empting potential failures and drastically reducing costly downtime and accidents. Additionally, they empower transport operators with invaluable insights into asset performance trends, facilitating optimized resource allocation and the strategic scheduling of maintenance activities to ensure maximal operational efficiency at a scale not seen before.

Through continual learning and adaptation, these systems evolve from reactive to proactive maintenance strategies, thus establishing a new benchmark for safety and reliability in the modern era of mobility.

Join us to explore Amey’s AI capabilities and engage in discussions on how we can support your AI journey with Computer Vision, Machine learning, NLP and many more whilst keeping the trusted ‘human-in-the-loop’.

Suren Samarasinghe PhD

Suren is a Principal Strategic Consultant at Amey, within the Digital, Data and Technology Team. With extensive expertise in extracting valuable insights from data, Suren specialises in developing and deploying end-to-end data solutions that drive business value. His experience spans multiple sectors, including road, rail, and healthcare. Recognised for his innovative work, Suren led the project team that was shortlisted as a finalist for the prestigious DataIQ Award in 2023, in the Most Innovative Use of AI category.

Tom van Vuren

Tom van Vuren is a chartered transport planning professional (CTPP) with almost 40 years’ global experience in transport planning, modelling and research. Calling himself a pracademic, Tom’s main interest is in the delivery around the world of complex technical urban and interurban projects, connecting theoretical robustness and practical pragmatism.

Apart from his role as Head of Digital Transport at Amey, Tom is a Visiting Professor at the Institute for Transport Studies in Leeds, and a Board Director of the Transport Planning Society. He currently co-chairs the UK Department for Transport’s Joint Analysis Development Panel. In 2023 Tom was awarded an MBE for services to transport.

Neha Govila

Neha is an influential leader with global experience in Data, Digital and Technology roles within both the public and private sectors across Infrastructure, Financial Services and Retail. She is passionate about creating value through better use of data and making a real difference to customer and business outcomes. She has a proven track record of delivering data driven change and has successfully built, led and inspired cross functional teams to land transformative projects and innovative solutions. Teams led by her have been recognized in multiple pan-industry awards in the ‘Breakthrough with Data’ and ‘Most Innovative use of AI’ categories.

She is currently a Director of Data Science in Amey’s Analytics & Advisory division and is focused on growing the team’s AI capability and in helping foster the development of smarter, safer, AI powered sustainable solutions across railways, highways and aviation.

Prior to Amey she led the modelling and visualisation deliverables for Sainsbury’s Net Zero programme and held various data and analytical roles with NatWest and HSBC.

Dr Sameer Kesava

Dr Sameer Kesava is a Principal Consultant at Amey Consulting working as a Data Scientist in the Advisory & Analytics division. He has worked on multiple projects with organisations such as National Highways and Transport for Wales (TfW) developing applications building on data science. He developed the train modelling and simulation tool for traction power demand from overhead line and on-board battery operation for planning and supporting the commissioning of new battery-hybrid trains on the discontinuously electrified Core Valley Lines railway network of TfW in South Wales. And building on this, he has been part of the team that developed a browser-based Rail Digital Twin application with the capability to provide design, optimisation, technical and operational support on any UK railway network, which was shortlisted for NCE Awards 2024. Before joining Amey in 2021, he was a postdoctoral researcher in the Department of Physics at University of Oxford working in the development of solar power renewable energy technology.

Ben Molony

Ben Molony is a highly skilled Senior Data Scientist with extensive experience in building data-driven platforms and AI-powered solutions across the asset management, energy, and smart technology sectors. He has a proven track record of leading cross-functional project teams, managing complex projects, and delivering innovative solutions that drive significant business impact. Ben has successfully built and maintained critical systems, including automated machine learning algorithms and large-scale web applications, while optimizing processes for risk management and energy reporting.

Currently serving as a key developer at Amey, Ben leads technical efforts on various high-impact projects, including the development of a platform for managing infrastructure maintenance budgets, as well as spearheading machine learning forecasting initiatives for device failures.

Ben holds a Master’s degree in General Engineering from Durham University, where he specialized in renewable technologies and machine learning. His expertise spans full-stack development, API integrations, cloud services, and data visualizations using a variety of modern technologies such as React, Python, AWS, Azure, and SQL.

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