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Artificial Intelligence (AI) in Mass Public Transport, was the first study conducted by UITP Asia-Pacific Centre for Transport Excellence under a joint-funded research programme between UITP and Land Transport Authority of Singapore (LTA). The study took place over the course of one year from December 2017 to December 2018.
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.
UITP’s position is not to advocate the use of AI but to raise awareness, demystify the technology and outline the current landscape of AI applications in public transport. It is important that all stakeholders have a clearer understanding of the technology, better preparing them for the transformation and of their role in shaping the AI-integrated society we live in today.
Moving forward with artificial intelligence in public transport
Published: February 2020
Artificial Intelligence in Mass Public Transport
Published: December 2018
Format: PDF – 144 pages
The report encapsulates all research findings collected during the year-long study. Over 100 experts from across the globe contributed to the project in taking part in roundtable and workshops, submitting detailed use-cases and/or writing blog articles.
You will find inside a comprehensive collection of concrete examples and best practices, and an outline of what the future might hold for AI in public transport systems. The report goes further than demystifying AI in providing insights to organisations who may be considering AI-powered solutions.
Read the Executive Summary of the report here.
Read the full Report on MyLibrary (members only).
For non-UITP members who are interested in the report, please contact firstname.lastname@example.org
[a summary of the highlights of the Report]
Watch the video
Check UITP Academy webpage to know when the next one is happening.