07
Predicting the unknown
- News
- External
- Machine learning
Olga Fink develops artificial intelligence algorithms for industrial assets, rolling stock and power plants.
E-Scooter and E-Bike bundles?
- News
- External
- IVT
- Mobility
Will E-Scooters and E-Bikes be part of publication transportation soon? ZVV is testing the project called «Yumuv». Professor Kay Axhausen in an interview.
Generative machine learning for discrete-continuous choice data
- External
- Past Events
- Mobility
- Behavioural sciences
Bilal Farooq from Ryerson University talks about large-scale discrete-continuous (MDC) choice data.
Some emerging research issues in ride-sourcing markets
- External
- Past Events
- Mobility
Emerging Mobility Systems and Services Seminar Series with Professor Hai Yang from the Hong Kong University of Science and Technology.
The COVID-19 Pandemic: What does it mean for transportation and mobility?
- External
- Past Events
- Mobility
3 Revolutions Policy Webinar Series with Giovanni Circella, Dan Sperling, Lisa Snap, and Mollie Cohen D'Agostino discussing implications for the climate and for communities.
Bicycle mechanics are at their limits
- News
- IVT
- Mobility
Local bicycle mechanics are working at full capacity. Will the bicycles shape our future traffic or not?
Micromobility in Switzerland: Demand and competition
- External
- Past Events
- Mobility
Kay W. Axhausen's webinar in the Emerging Mobility Systems and Services Seminar Series.
Justice on roads and rails: Who drives more, pays more
- News
- External
- Mobility
The Corona crisis has achieved what transport planners have tried for decades: People are changing their mobility behaviour.
Risk and uncertainty in choice experiments using simulated experiences
- External
- Past Events
- Mobility
- Behavioural sciences
Michiel Bliemer from the Institute of Transport and Logistics Studies at the University of Sydney Business School talks about risky and uncertain attributes in choice experiments.
Traffic on federal roads is increasing
- News
- External
- Mobility
The federal roads are being used intensely. High loads are the reason for increased traffic jams in 2019.