Combining Mesoscopic and Microscopic Simulation in an Integrated Environment as a Hybrid Solution

摘要: The evaluation of advanced Intelligent Transportation Systems, and particularly those which involve real-time traffic management, requires a network-wide assessment their impact as opposed to an isolated analysis key intersections. To support such assessments, integrated simulation environment that allows the use different modeling levels (e.g., macro-meso-micro) offers undeniable advantages. One advantages is assignment results produced by any type network loading can be stored reused for another run. But even in with separate models, deciding between microscopic or mesoscopic was until recently necessary difficult choice. On one hand, models emulate dynamics individual vehicles detailed representation based on car-following, lane changing, gap acceptance models. They also account explicitly control. As such, they are very appropriate operational due detail information provided simulator. However, have significant calibration computational cost. other combine simplified flow explicit treatment interrupted flows at intersections allow large networks high efficiency. loss realism implied model makes it outputs; instance, detector measurements instantaneous emissions. Some outputs, number start-stops exact location congestion within section elude most simulators. This gives rise need meso micro approaches into new concurrent hybrid simulators where large-scale modeled mesoscopically areas complex interactions benefit from finer simulation. Combining event-based more detailed, time-sliced microsimulator raises consistency problems meso-micro-meso transitions. paper discusses these problems, proposes solutions illustrates how work practice.