Data-Driven Modelling of Routing and Scheduling in Freight Transport
A. Nadi Najafabadi (TU Delft - Transport and Planning)
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Abstract
This dissertation includes initial steps towards introducing a data-driven integrated logistics and traffic modelling framework. The main objective is to unravel the complex interaction between freight transport and traffic systems and to incorporate this knowledge into measures for improving the performance of traffic and logistics operations. Using large databases of observed truck trips and empirical research, a data-driven modelling pipeline is developed and applied, leading to new knowledge about the organization of road transport, in time and space.
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