Data And Business Intelligence In Public Transport

2 - 4 June 2026

Hamburg, Germany

Organisers

Europe Global AI Data

Introduction

Business intelligence (BI) is needed to support decision makers in public transport. It helps to make better decision faster, to improve for example service, performance or profitability. Data can make a difference in practically all areas, from operations management and transport planning to policymaking and strategic decision-making. Yet today’s complexity and abundance of data can make it challenging for transport professionals to unlock the value of their data. Obtaining value by driving information from the data is yet another challenge. BI and BI tools make it easy to act agile, and accurate.

It is undeniable that artificial intelligence (AI) is growing its importance in every sector, including public transport. The use of AI applications in public transport could be one of the critical solutions that efficiently unlocks the value of data to improve the quality and efficiency of the public transport sector. Applying AI to our current methods of providing public transport enables us to move forward on many fronts to improve all aspects of provision.

This course aims at providing an insight into the main principles, processes and tools to inform policy- and decision-makers accurately and to transform Big Data into results and to show how AI applications can help to better serve: identifying the broader strategic objectives and linking them to associated goals and success factors will eventually allow choosing the most accurate indicators and processing the right dashboards. In addition, the course will also look at the opportunities and value created by Open Data and Data Sharing.

The course follows the standards of:

ISO 13053-1 & 2: Quantitative Methods in Process Improvement — Six Sigma
ISO 29990: Learning Services for Non-Formal Education and Training

What You Will Learn

By the end of the training, participants will be able to:

Learn about the main principles, processes and tools required to use data and build a sound business intelligence system and organisation to improve public transport and sustainable urban mobility in cities
Understand the importance of having a good organisation 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 breakdown 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
A good level of English is a mandatory requirement to attend the training

Programme

Welcome, objectives and introduction to the programme

09:00 – 09:30

Data has been in and around public transport for some time now. It has not only changed the way Public Transport is operated and used, but it has also changed expectations passengers have. Which changes have taken place in general, and which in the regions of participants? What is expected to happen in the future? And how will this impact passenger expectations? In this first session all these items will be discussed.

Coffee break

11:00 – 11:30

This session will look into the use and impact of new technologies, which open new perspectives in the way data is collected. Apart from the secondary data, a large amount of primary data is being collected from smart cards, telematics systems, GPS systems and vehicle detection systems, almost on a real-time basis. In addition, large amount of customer or operational data is available through crowd sourcing, social media, and smart device interactions. This exponential growth in data has opened new opportunities but at the same challenged business organizations on four fronts – Volume, Velocity, Veracity and Variety. The techniques to bring this data together and organize them in a Big Data Analytics framework can lead to higher revenue (and customer service), lower costs (efficiency and optimization) and innovation (new business products).

Lunch

13:00 – 14:00

Travel Data and Smart Applications
How to use passenger counting data for funding
Demand and Travel Time Forecasting for Ride Sharing and Repositioning
Smart MMI – Context-Sensitive Travel Companion on Smart Public Displays in Public Transport
The use and impact of new technologies to procure data and measure mobility

Coffee break

15:00 – 15:30

Workshop 1 – How data-driven should your organisation be?

Based upon Gartner’s BI maturity model participants will rank their own company: how data driven is your organisation? How data driven does it need to be? How to get there?

Workshop 2: How to get from data to results?

Many operators struggle to optimize the impact of data. What should be done to get the max out of data? How to avoid failure? How to get a high ROI (Return on Investment)? In this session conditions for success will be discussed.

End of Day 1

17:30 – 17:30

In companies including public transport companies KPI’s plays very crucial roles for decision making process. Collecting and analysing the data should come up with the results to follow daily, weekly, monthly, and annual basis by the management. Companies should define their own KPI’s and success criteria to monitor the trends within the results.

Success factor for PTO’s
Key Performance Indicators, KPIs
Performance Indicators, PIs

How to create KPIs

Coffee break

10:00 – 10:30

KPI’s can be used and implement for various activities in public transport. By using definite KPI’s each level of managements from medium management to top can monitor the results and ack accordingly. It is called managing by the results. KPIs gives ability to decision makers where to intervene into the process.

Performance monitoring for different elements
Defining KPIs for different activities
Monitoring maintenance, operations, finance by KPIs

Operational planning of public transport depends on various paremetres. Number of passengers, time of the travel, starting and ending of travel, available bus on the fleet, duration of trip and drivers are basic data that is needed. With these paremeters operatioanal plan can be created by using inteligient tools. There are many constraints to have taken into accounts such as working hours, legal restrictons, break time and periods etc. That’s why it is not easy task. In this session important criteria will be discussed and shown on the case studies.

Lunch

12:30 – 13:30

Workshop 3 – KPI selection

What is a good KPI? And how to select KPIs that really make a difference in terms of quality, profit and customer satisfaction? In this workshop, this process is explained and executed.

Workshop 4 – Action planning

One of the biggest challenges is to use data not just to monitor your KPIs, but also to manage your KPIs, so for improving quality, profit and customer satisfaction. But how do you do that? In this session this process is explained and participants are supported in creating their own action-planning.

Artificial Intelligence, AI, Big Data and Machine Learning, ML
AI in Customer Service
AI in Operational Efficiency and Asset Management
AI in Safety and Security Management

Coffee break

14:30 – 15:00

End of Day 2

17:30 – 17:30

Open Data
Data Management for Service Excellence
Data Management for Customer Satisfaction

Demo Session on real reports for AFC and AVM based on real data

10:00 – 10:30

Closing

10:30 – 11:00

Technical visit

11:00 – 13:30

End of Programme

13:30 – 13:30

_{* UITP reserves the right to make amendments to the programme or any related activity at its discretion.}

Methodology

Interactive sessions combining presentations, case studies, and workshops.
Hands-on application of DMAIC through real-world case exercises.
Peer exchange in group discussions to share best practices and challenges.
On-site practical learning during the technical study tour.

UITP Training Programs and all related processes are certified for ISO 21001: 2018 – the standard for Educational organisations – Management systems for educational organisations.

What Material Do I Receive?

By attending this training, you will get:

Presentations and training notes
Certificate of Participation

How does it work?

This is a 3-day classroom course with presentations, case studies by trainers, discussions with the audience, and workshops.

Morning and afternoon sessions include coffee breaks and lunch breaks.

The course will be conducted in English.

	Until 21 April Register now	From 22 April Register now	Groups 4 or more persons Register now
UITP Member	€1,375	€1,850	€1,290
Non Members	€1,775	€2,450	€1,690
UITP Member ‘developing nations’	€975	€1,375	€950
Non Member ‘developing nations’	€1,225	€1,700	€1,150

Contact Us

Have a question about this training programme? Contact our team if you need any additional information on this event.

Sunita KELECOM

Officer – Events Management Unit

Events & Academy Services

UITP Team

Email Sunita

Organisers

Register Now

Secure your place and take part in this training.

Introduction

What You Will Learn

Who is it for?

Programme

Welcome, objectives and introduction to the programme

Session 1: The power of data, and its impact on public transport

Coffee break

Session 2: The use and impact of new technologies to procure data and measure mobility

Lunch

Session 3: Intelligent Transport Systems, ITS

Coffee break

Group Work

End of Day 1

Session 4A: The creation of KPI’s

Coffee break

Session 4B: Performance monitoring using KPI’s

Session 5: How to use passenger data for PT operation – Case Study

Lunch

Session 7: Group Works

Session 6: Artificial Intelligence in Public Transport

Coffee break

End of Day 2

Session 8: Data and Data Managements in PT

Demo Session on real reports for AFC and AVM based on real data

Closing

Technical visit

End of Programme

Methodology

What Material Do I Receive?

How does it work?

Pricing

Contact Us

Sunita KELECOM

Organisers

Register Now