Traffic and cascading information
From Santa Fe Institute Events Wiki
People:
Giovanni Petri
Leif Karlstrom
Drew Levin
Tracey McDole
Samuel Scarpino
Kang Zhao
Transportation networks represent an element of enormous importance in the development of economies and in our daily lives. However, the common experience of such networks is often very poor due to congestion and scarce available information. It becomes important than to consider what are the effects of real-time information about the status of the network itself. Not much work has been devoted to this subject, but this is becoming more and more relevant as our capacity of sensing and communicating are growing very fast. We want to consider modifications of this model, where decentralised information dissemination is used to study the emerging length scale of interaction.
Questions:
(1) What happens when one specifies the model better? What if the network is driven, e.g. a net flow through the network ?
(2) Is it possible to let the parameter commanding communications evolve over time copying neighbours dynamics.
(3) ...(stay tuned)