Date and Time:
November 11-13, 2026 - 9:00am to 5:00pm
Course Description:
Data has long been at the heart of public transport planning, operations and policymaking. Today, the volume, variety and speed of data generated by public transport systems have increased dramatically, creating both unprecedented opportunities and significant challenges. Business Intelligence (BI) provides the essential foundation to transform raw data into actionable insights, enabling decision-makers to improve service quality, operational performance, financial sustainability and customer satisfaction. As public transport organizations mature in their use of data, Artificial Intelligence (AI) is emerging as a powerful next step to further unlock value. AI and Machine Learning build upon well-structured, reliable and well-governed data environments to enhance prediction, optimization and automation across the public transport value chain. From demand forecasting and dynamic scheduling to asset management, customer service and safety, AI applications can significantly improve efficiency, resilience and passenger experience. This blended training program is designed to guide participants along the full data journey in public transport: from data fundamentals and Business Intelligence, through advanced analytics, and finally to practical and strategic applications of AI.
Learning Objectives:
· Learn about the main principles, processes and tools required to use data and build a sound business intelligence system and organization to improve public transport and sustainable urban mobility in cities
· Understand the importance of having a good organization of data and learn from best practice on implementing a management information system
· Learn from international best practices and exchange of knowledge on the optimal use of new technologies
· Learn how to better exploit data analytics and find opportunities in your data, in particular Big Data analysis
· Apply through workshops, the process of getting the right data: from defining strategic goals to the appropriate selection and break down of indicators.
· Understand and discuss the concept of AI and Machine Learning
Intended Audience:
· Transport professionals who want to get more out of their available data whatever the field of specialization, from operations management to public transport planning, marketing and strategic decision making
· Professionals in IT and Business analytics who are willing to widen experience directly involved in the collection, processing, and analysis of data
· Professionals interested in obtaining a wider and more international perspective on the collection and use of data in public transport
· Experienced professionals but also newcomers in the sector from local transport authorities, public transport operators or the supply industry.
Presenters:
Rob Roemers, Perpetual Bounty, Belgium
Rikesh Shah, Innovate Today, United Kingdom
(More presenters to be named soon)
Location:
Rutgers Newark — Ruth Bader Ginsburg Hall Seminar Room 201
15 Washington St, Newark, NJ 07102
Sponsor:
This course is offered as part of the UITP North American Regional Training Center, a partnership between UITP, NJ TRANSIT, and Rutgers CAIT.