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TU Berlin

Inhalt des Dokuments

Laufende Projekte

Optimal Pricing

Users of transport systems do not only accept generalized costs for themselves (e.g. own travel time), but they also cause damages to other transport users (e.g. congestion, accidents), to residents (e.g. noise, carcinogenic air pollutants) and to the global population (greenhouse gas emissions). In this project, a simple mechanistic approach is proposed to to feed the costs of these damages back to the persons causing them. mehr zu: Optimal Pricing

Shared Autonomous Taxis

Shared Autonomous taxi (SAT) fleets have the potential to take over a significant amount of traffic handled nowadays by conventionally driven vehicles. In this project, we assess their impact on mobility and traffic. mehr zu: Shared Autonomous Taxis

Transit Optimization

An agent-based evolutionary approach for the user-oriented optimization of complex public transit systems mehr zu: Transit Optimization


MATSim provides a toolbox to implement large-scale agent-based transport simulations. The toolbox consists of severel modules which can be combined or used stand-alone. Modules can be replaced by own implementations to test single aspects of your own work. mehr zu: MATSim


Although the complex interactions between land use and transport are often acknowledged and appreciated, the state of practice in evaluating infrastructure investment decisions is to fall back on purely transport- and mobility-related metrics. Especially when there is large economic inequality among citizens, answering the questions “Who gets the infrastructure benefits?” and “Who pays for the infrastructure?” become loaded and controversial. mehr zu: MAXess

Traffic signal control

This project analyses the interaction between traffic signal control and users’ behavior from two perspectives. On the one hand it concentrates on the optimization of traffic assignment and signal control in a strict mathematical programming approach. On the other hand it studies the implications of signal control optimization strategies on travelers’ behavior using advanced traffic simulation tools. mehr zu: Traffic signal control

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