Physics of Flexible Mobility
As our cities grow, so does the necessity to transport increasing amount of people and resources. In the same time, it is now apparent that this expansion of infrastructure comes at heavy cost to our environment. Demand-driven, flexible transport systems have the potential to be more performant, resilient and sustainable than classical systems under rigid central control.
We have developed a framework for simulating such transport systems called "Demand-Driven Directed Transport (D3T)". Using this framework, as well as tools from network science and statistical physics, we study how the vehicular dynamics is influenced by factors both temporal (i.e. load arrival rate) and topological (street network, spatial density of requests). We focus on scaling behaviour of macroscopic parameters (e.g. average travel time) with tunable parameters (e.g. load arrival rate, number of transporters).
Members working within this Project:Debsankha Manik
Levke Johanna Deutsch