Revealed preference data from WiFi traces for pedestrian activity scheduling
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This paper develops a framework for understanding pedestrian mobility pattern from WiFi traces and other data sources. It can be used to forecast demand for pedestrian facilities such as railway stations, music festivals, campus, airports, supermarkets or ...
Urban growth and its pressure on infrastructure causes congestion in pedestrian facilities and asks for tools to design and optimize infrastructure. Our goal consists in estimating and forecasting pedestrian demand using data at the scale of pedestrian inf ...
Urban growth and its pressure on infrastructure causes congestion in pedestrian facilities and asks for tools to design and optimize infrastructure. Our goal consists in estimating and forecasting pedestrian demand using data at the scale of pedestrian inf ...
In recent years, interest in crowd dynamics and pedestrian modeling is reviving due to urban growth and its pressure on urban infrastructure. Crowd and pedestrian simulation is emerging as a tool for designing new infrastructures and optimizing the use of ...
