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Traffic Simulation Models

Contents. Why hybrid simulation?What is hybrid simulation?How did you do it?Application: Londonviadukten, S?dermalm, StockholmCan you show it?So how did it go?And what are your conclusions?. Why hybrid simulation?. Micro models: Good for small areas, with much detail, e.g. to study signal con

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Traffic Simulation Models

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    1. Traffic Simulation Models Part 2: hybrid meso-micro Wilco Burghout

    2. Contents Why hybrid simulation? What is hybrid simulation? How did you do it? Application: Londonviadukten, Södermalm, Stockholm Can you show it? So how did it go? And what are your conclusions?

    3. Why hybrid simulation? Micro models: Good for small areas, with much detail, e.g. to study signal control in a number of intersections Not so good for large areas. Difficult to calibrate, network coding takes a lot of effort and time, and simulations are slow. Meso models: Good For large areas, less detail, e.g. an entire city. Easier to calibrate, takes less time to code network, routing over entire network, fast simulations. Not so good for detailed studies, such as adaptive signal control, merging areas etc.

    4. Hybrid meso-micro simulation Integrates meso- and micro models to: Simulate a small area (or multiple small areas) in detail with micro simulation Simulate surrounding area with meso simulation Allows study of local effects of traffic operations, e.g. adaptive signal control with micro, and network effects with meso Realistic inflows into micro from buffer network in meso, incorporating queue propagation over meso-micro boundaries. Can capture redistribution effects of local changes, where traffic may avoid the micro area, or new traffic may be attracted to the micro area.

    5. Hybrid modeling: consistency Consistency in route choice and network representation Consistency of traffic dynamics at meso-micro boundaries Consistency in traffic performance for meso and micro submodels Transparent communication and data exchanges

    6. Hybrid framework

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