ADS & AMDS Webinar | COVID-19 and Capacity Modelling in Public Transport
Dennis Huisman spoke about the work done to significantly reduce the NS timetable between 21st March and 1st June. This included how this timetable was designed and how advanced algorithms were used to construct this timetable (and the steps to return to the normal timetable) and the related rolling stock and crew schedules.
Menno de Bruyn discussed the challenges that NS will face in the coming years. Passenger demand will be reduced in the coming years due to the economic depression, other behaviour (working from home and online lectures) and passengers’ fear of using public transport. To get better predictions on travel behaviour, NS started a large customer survey on passenger behaviour after the COVID-19 crisis, the results of which were presented during the webinar.
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.