Data Analytics & Machine Learning for Transport & Traffic Management
TIME
09:00 - 17:00
lOCATION
ONLINE
Course OVERVIEW
This two course is designed to equip transport, mobility and traffic management professionals with practical skills in predictive analytics, machine learning and digital twinning. Participants will learn how to work confidently with transport datasets and apply analytical techniques to support evidence-based planning, network optimisation and future mobility decision-making.
Who will Benefit?
This course will benefit professionals involved in transport planning, traffic management, network operations, data analysis and future mobility strategy. It is ideal for those who want to strengthen their analytical capability, apply machine learning to real transport challenges, and use data-driven insights to support operational decisions and long-term planning.
LEARNING OUTCOMES
At the end of the two-day course, participants will be able to:
Apply machine learning to transport datasets (flows, speeds, demand, incidents)
Produce short-term forecasts to support congestion and network performance management
Use Python tools for analysis, modelling and visualisation
Understand how digital twins simulate transport systems and test interventions
Develop a realistic analytics roadmap for their city, project or organisation
WHO SHOULD ATTEND?
Transport planners, traffic engineers, data analysts, insight teams, network operations managers, control room managers, local authority transport officers, national transport and mobility agencies, transport and modelling consultants, and professionals seeking practical data analytics and machine learning skills for transport.
Course Content
Day 1
Understand predictive modelling in traffic, demand and mobility datasets
Use anomaly detection to identify incidents, abnormal congestion and unexpected behaviours
Apply clustering to map traffic hotspots, OD patterns and user segments
Build short-term network forecasts in Python (flows, speeds, journey times)
Integrate predictive insights into traffic operations, planning and corridor studies
day 2
Combine multiple analytical approaches to support transport network management and investment decisions
Understand how predictive analytics feeds into transport digital twin platforms (roads, mobility hubs, multimodal corridors)
Develop an implementation roadmap for adopting analytics within their organisation
Apply insights through a real-world case study using traffic, mobility or sensor data
COURSE MATERIALS
The participants will be offered a copy of day programme, course materials folder and a certificate of attendance
COURSE FEES
Please contact us today to consult and get your free of charge fee quotation.