Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion

Abstract

The model presented in this work is based on the agent-based simulation framework MATSim. We describe a new approach for collecting and processing the underlying data required for the development of a MATSim scenario. In cooperation with the administration of Hanover, available data was centrally collected, analysed and clustered. Using data fusion, the dataset was combined and enriched with additional information from open data sources in order to improve the model's level of detail. In combination with the German mobility survey Mobilität in Deutschland 2017, the developed model is specifically adapted for the regional characteristics of Hanover, but yet transferable to other scenarios. © 2020 The Authors. Published by Elsevier B.V.