The aim of the project was to develop a cooperative optimization approach to reduce delays caused by irregular traffic phenomena. The approach includes:
the assessment of the resilience of transport networks,
the identification of critical and vulnerable network components,
the reduction of regular and irregular delays,
the detection of dynamic bottlenecks and
the reduction of negative effects through adaptive control and dynamic speed recommendations.
We conducted this project to advance integrated mobility services by using novel sensor technologies and route-based traffic control algorithms to track the movements of people in a city. This data will help improve urban transportation, reduce emissions and create a more sustainable future for cities and their residents.
The project focused on advanced sensor technology for comprehensive data collection of human movement in Kirchheim. We install sensors at strategic locations such as light poles and traffic lights to track people's movements over time. By analyzing the data, we gain valuable insights to improve urban planning and traffic management in the area.
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