Smart pedestrian movement is one of the major determining factors for designing a smart city. Organization and segregation of activities is the key to achieve a walkable street. Well designed and well maintained details make the space visually appealing and encourage walking.
An urban street consists of large variety of activities and different types of users. Most of the shopping activities as well as social activities take place on streets. Streets with shop fronts, eating joints, encourage heavy pedestrian movements. But these activities are often unsegregated and unorganized what makes the streets inaccessible and unsafe for pedestrians.
This experiment will use, amongst others, the Human Presence domain from the FIESTA-IoT Testbeds for represent pedestrians inside a BIM City Model. In this way, we can understand how people will move through our cities. The target software for representing simulations is Oasys Mass Motion.
Basically the experiment will map Fiesta IOT sensors to Mass Motion objects (portals), and generate people flow, according to the data analysed. Additionally the developed framework facilitates the generation of additional flows of people to achieve more realistic simulations.