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Movement Conflicts in multi-modal urban traffic systems: Modeling Congestion and developing more sustainable cities

Das Projekt "Movement Conflicts in multi-modal urban traffic systems: Modeling Congestion and developing more sustainable cities" wird vom Umweltbundesamt gefördert und von Ecole Polytechnique Federale de Lausanne (EPF), Institut d'Amenagement des Terres et des Eaux (IATE) durchgeführt. As cities around the world grow rapidly and more people and modes compete for limited urban space to travel, there is an increasing need to understand how this space is used for transportation and how it can be managed to improve accessibility for everyone. This research seeks to shed some light in the macroscopic modeling of traffic flow for overcrowded cities with multimodal transport. To enhance more in this direction, we are interested in developing a macroscopic methodology to model different types of multi?modal systems, which contain buses, cars, taxis etc with emphasis in conflicts for the same road space (e.g. mixed traffic of buses and cars; vehicles searching for parking while intervening with moving-to-destination vehicles; taxis or delivery trucks that stop to pick up passengers or goods etc). More specifically, we propose to study how the throughput of passengers and vehicles depends on the geometrical and operational characteristics of the system, the level of congestion and the interactions between different modes. The accuracy of the developed models will be tested for different routes and different networks using real Automatic Vehicle Location (AVL) and Automatic Passenger Counts (APC) data and signal, geometric and traffic data. Also, the models will be tested with a variety of different types of realistic multimodal networks using micro?simulation. The analysis will based on realistic macroscopic models of congestion dynamics and can be implemented with readily available data. The existence and the analytical modeling of a macroscopic fundamental diagram for multi-modal cities will be developed. Ultimately, the goal of the proposed work is to develop modeling and optimization tools which will contribute on how to allocate city space to multiple transportation modes and to understand what sustainable level of accessibility cities of different structures can achieve. This research will also investigate what type of trips should be restricted through pricing to significantly improve mobility measures in a city (e.g. cordon-based vs. area-based vs. parking pricing).

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