Rob ROEMERS
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.
The program emphasises that strong data governance, sound KPIs, and effective BI systems are prerequisites for successful AI adoption.
Through expert-led sessions, case studies, workshops and peer exchange, participants will learn how to structure their data, define meaningful indicators, build dashboards, and progressively leverage AI to support smarter decisions and more intelligent transport systems.
The course also explores the role of Open Data, data sharing, innovation ecosystems and organizational change as key enablers of both BI and AI.
What You Will Learn
- 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
- Broaden your knowledge and perspective on possible applications of artificial intelligence in public transport by learning and sharing experience with professional leaders
- Learn about the possible opportunities for making public transport modes more efficient and customer oriented with artificial intelligence applications
- Understand the impact of new technology and how organizations can leverage on the opportunity
- Learn from best practices from around the world: showcases from local operators, authorities and the industry
- Learn about approaches, challenges and possible causes of failures in implementing AI projects in the public transport industry
Who is it for?
- 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.
Programme
Sessions yet to be announced.
A Top Level Methodology
- Get inspired by trainers, understand the main aspects of bus planning and scheduling systems
- Participate in interactive plenary sessions with an introduction by course leaders, presentation by trainers, and open discussions with participants
- Challenge your practical knowledge of bus planning and scheduling
- Address the topic from an international perspective, enriched by different cultural approaches and points of view
- Participate in practical exercises and case studies
- Benefit from a unique exchange of knowledge and experience between professionals
- Exchange experiences and discuss key topics during workshops in smaller groups
UITP Training Programs and all related processes are certified for ISO 21001: 2018 – the standard for Educational organizations – Management systems for educational organizations.
Pricing
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Early bird – Until 30 September
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Standard – After 1 October
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Groups
4 or more persons
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Registration Fees |
USD 1,450 |
USD 1,850 |
USD 1,250 |
Trainers
Rikesh SHAH
Contact Us
Have a question? Contact our team if you need any additional information on this event.
Crestone WITSELL
