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Many ITS applications in public transport stations benefit from knowing the pedestrian flows inside and outside the building for the purpose of predicting waiting times or applying safety measures. Counting people inside the station is often easier than outside the building because the building is a closed system with well-defined cross-sections like doors or stairs instead of the open area outside...
Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition wevalidated our model with real...
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