In this thesis new digital tools and methods have been developed, which allow for a continuous and integrated planning process of infrastructure projects using a federated model. Different solutions are presented, which expand traditional planning processes and cause digital networking of single planning processes. Furthermore, necessary data from the rail and roadway construction can be provided in order to generate an integrated and federated infrastructure information model. Therefore, different parametric-associative modeling approaches from the manufacturing industry are adapted, which, together with the Building Information Model (BIM), form the basis for a parametric-associative infrastructural model (PIM). Because of the complexity of the task, different construction approaches are presented alongside the definition of an appropriate modeling concept. These construction approaches allow for semi-automatic or integrated planning of infrastructure-specific base models. In consequence, planning quality and planning time are optimized. Furthermore, a newly developed method for a direct analysis of degrees of freedom is presented which simplifies the complexity of the parameterization process. Finally, these different methods and digital tools are combined into an efficient modeling guide. This modeling guide supports not only efficient planning of the parametric-associative infrastructure information model, but it also fulfills the requirements of a model based and economic planning process. Examples from practical experience show successful validation of this new modeling guide.
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In this thesis new digital tools and methods have been developed, which allow for a continuous and integrated planning process of infrastructure projects using a federated model. Different solutions are presented, which expand traditional planning processes and cause digital networking of single planning processes. Furthermore, necessary data from the rail and roadway construction can be provided in order to generate an integrated and federated infrastructure information model. Therefore, differ...
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