D3T Project proposal

Debsankha Manik
Andreas Sorge


Transport of both people and goods are fundamental pillars of our highly interconnected globalized society. Unfortunately, it is also one of the biggest contributor to CO2 emission (Edenhofer 2014). On demand shared transport systems have the potential to be more efficient, resilient and sustainable than classical transport schemes. Demand-driven directed transport (D3T) aims to be a unifying framework for implementing, evaluating and comparing different aspects of this problem.


Demand-Driven Directed Transport (D3T) is an approach to improve upon issues that touch us in a daily basis. Therefore, our main motivation is Application inspired basic research. We will attempt to answer, both qualitatively and quantitatively (depending on the question), whether a solution is appropriate for the system at hand. We will draw on the tools of modeling, obtain real world data, and validate them continuously. Aspects like scalability and resilience would be given utmost attention.

We will, however, also strive to investigate universal phenomena so long as our model remains as applicable to the system.

Conceptual structure of the group

Hierarchical structure of research domains


  • Statistical Physics

  • Nonlinear Dynamics

  • Network Science

  • Computational Science & Engineering

  • Machine Learning

  • Operations Research


  • Graph Theory

  • Stochastic Processes

  • Queueing Theory

  • Discrete-Event System Modelling (DEVS)

  • D3TS Framework