Effects of new passenger transport services on the federal road network
In order to meet future climate protection targets, it is necessary to significantly reduce emissions in the transport sector. This project focuses on potentials in long-distance passenger transport. To estimate emission reductions in long-distance travel, it is necessary to understand the status quo. Models representing the status quo can be extended to study future scenarios.
In order to quantify the effects of different measures, two transport models will be applied in this project. First, an agent-based demand model will be created for Germany. Second, an aggregated network model will be derived which allows estimating the traffic situation on an aggregated level. While the agent-based model works with a temporal resolution of one second, the aggregated network model will model the transport system in simplified factual, spatial and temporal resolution. The application of two methods leads to results with higher credibility.
With the models mentioned above, it is possible to investigate a variety of scenarios to quantify the effects of infrastructure measures, new transport services and political measures. The scenarios will be examined with both model approaches in order to increase the credibility of the recommendations.
Tasks of the Chair
- Development of an aggregated network to model long-distance traffic in Germany
- Development of an aggregated mode choice model for long-distance transport
- Definition of possible future scenarios for the German long-distance traffic
- Evaluation of the impact of different scenarios on emissions
|Keywords||Long Distance Travel, Traffic Modeling, Mode Choice Modeling, New Mobility Services|
|Funding||Federal Highway Research Institute|
|Partners||Assistant Professorship of Modeling Spatial Mobility, Technical University of Munich|
|Duration||October 2019 to September 2021|
|Contact||Sabine Krause, Florian Dandl|