Self-organization is apparent in various contexts and processes including physics, biology, engineering and cognitive systems. This dynamic and complex phenomenon is of crucial importance in the urban transportation spectrum, where complexity, uncertainty and adaptation are interlinked.
Due to the wide variety of agents, some processes occur based on careful consideration and design on behalf of the decision-makers, while others follow a more spontaneous procedure. One example of these random case-studies is where agents mimic animal swarming, in terms of interaction and adaptation.
The video that follows presents some swarm conditions in the context of cycling and traffic flow including communication, behavioral diversity and the ability to adapt.