Transport networks are evolving fast. With real-time sensor feeds, complex mobility patterns and growing pressure on roads and public transport, the sector is entering a new era—one where data is no longer optional but essential. Transport professionals need the analytical capability to understand what is happening on the network today, predict what might happen tomorrow, and make informed decisions that improve reliability, efficiency and user experience.
Recognising this shift, iSelect Consultancy is excited to announce the launch of a brand-new training programme: Data Analytics & Machine Learning for Transport & Traffic Management. This two-day course has been carefully designed to give planners, engineers and decision-makers the practical skills needed to work with modern transport datasets and apply machine learning techniques confidently.
Transport authorities, operators and consultancies now gather huge amounts of information—traffic flows, journey times, sensor outputs, ticketing records, incident logs and mobility data. Yet the real challenge lies in turning this data into meaningful insight. This course focuses exactly on that: helping participants understand how to analyse complex datasets, detect emerging patterns, forecast network conditions and translate findings into operational improvements or strategic recommendations. It introduces predictive analytics in a simple, transparent way while also demonstrating how these techniques feed into digital twin environments and future mobility planning.
Across the two days, attendees explore core machine learning approaches, anomaly detection, clustering, forecasting techniques and the fundamentals of digital twins, all within a transport context. The sessions blend conceptual learning with hands-on exercises, giving participants the chance to work directly with real transport datasets and build confidence quickly. The aim is not just to teach technical methods, but to ensure participants can apply them immediately in their own organisations—whether for congestion management, modelling, network optimisation or corridor planning.
The learning experience is intentionally interactive and applied. A combination of clear explanations, guided labs and practical dataset exercises helps participants build skills step by step. By the end, they will understand how to approach data-driven transport challenges and produce insights that genuinely support better decision-making.
This course is ideal for transport planners, traffic engineers, analysts, network managers and consultancy teams working across planning, modelling or transport operations. No advanced coding experience is required—everything is introduced in an accessible, structured way.
As the sector moves further towards data-driven transport management and future mobility planning, iSelect Consultancy is proud to support teams in building the analytical skills they need to stay ahead.
📩 Contact Us
For enquiries, bookings or in-house training requests, please get in touch:
✉️ training@iselectconsultancy.com