  Contemporary street design prioritizes vehicular traffic flow and assumes
compliant road users. However, actual human behavior is typically neglected,
especially of cyclists, leading to streets with inadequate wayfinding and
protection from vehicular traffic. To improve planning, here we develop a
computational method to detect cyclist trajectories from video recordings and
apply it to the Dybb{\o}lsbro intersection in Copenhagen, Denmark. In one hour
of footage we find hundreds of trajectories that contradict the design,
explainable by the desire for straightforward, uninterrupted travel largely not
provided by the intersection. This neglect and the prioritization of vehicular
traffic highlight opportunities for improving Danish intersection design.
