UITP Asia-Pacific Centre for Transport Excellence is conducting a research project on: What is the future for artificial intelligence in public transport systems and how to strike the balance between human interactions and technology?
The lead research question ‘What is the future for artificial intelligence in public transport systems and how to strike the balance between human interactions and technology?’, aims to review the current practices of using AI in mass public transport systems, explore how AI technologies should be best deployed in public transport systems to ensure public transport providers and authorities continue to deliver attentive and responsive quality of service, and consult AI experts to project the trend of AI in mass public transport in the next 5 years.
The study is reviewing the use of AI in the following context:
- Customer Excellence: the deployment of AI for achieving better customer service and intelligence amongst authorities and operators;
- Operational Excellence: the use of AI brings system and operational efficiencies through optimisation and predictive maintenance;
- Engineering Excellence: inventory & asset management and predictive maintenance;
- Security and Safety Prevention: the AI applications providing the solutions for improving operational safety and security measures, this includes offences involving revenues and property.
Data & Insights Collections
- Quantitative survey on the current state of AI in PT
- Survey reached 50 responses in March 2018.
- Detailed case studies on AI in PT projects
- The project will showcase around 15 international case-studies in the final report.
- AI in PT Expert Roundtable
- 6 March 2018 at IT-Trans (Karlsruhe, Germany)
- The roundtable gathered 28 experts from around the world sharing best practices and defining opportunities of AI applications in mass public transport.
- Ideation Workshops for AI in PT in the Next 5 Years
- 25 April 2018, 6:30pm to 9pm, Hong Kong and 9 May 2018, 6:30pm to 9pm, Singapore (please choose only one workshop to attend);
- Key objectives are to brainstorm practical uses of artificial intelligence (AI) in mass public transport in the next 5 years and identify how these predictions may shape the future of public transport industry (including identify skills required from workforce).
- The audience will mix AI experts outside of public transport industry with public transport stakeholders such as public transport planners, mass transit operators (in innovation or IT teams), transport technology research institutes and public transport industry suppliers (responsible for IT/innovation R&D).
Please contact Clémence Morlet for further information.