People flow prediction device
A client device accepts event information for which a people flow prediction is to be performed from a user and the client device inputs the accepted event information to a people flow prediction device. The people flow prediction device outputs a result of people flow prediction responsive to the input event information to the client device and the client device displays the result of people flow prediction to the user. The people flow prediction device performs a people flow prediction by temporally and spatially allocating an event attendance which has been input from the client device to pathways, each connecting a transport facility at which a people flow originates and an event site. Consequently, it is possible to predict a flow of people who attend an event or the like, the people flow differing from that in an ordinary situation, without need to input real-time data.
1. A people flow prediction device comprising:
a memory which pre-stores event information designating an event site position and event date/time, pre-stores people flow data including the number of people existing per area associated with date and time, and stores map information including the positions of transport facilities and road information;
a processor communicatively coupled to the memory, wherein the processor configured to:
selects a set of event information that is similar to event information designating an event site position and event date/time which have been input out of the event information storage unit and specifies transport facilities from where a people flow will occur when an event will take place based on the selected set of event information,
allocate an event attendance which has been input to the specified transport facilities,
refer to the people flow data stored in the memory and specify transport facilities related to the people flow data corresponding to a difference between people flow data in an ordinary situation and people flow data on an event date,
specify the transport facilities from where a people flow will occur, referring to the people flow data and the map information stored in the memory, and
determine pathways to walk from the specified transport facilities to the event site, referring to the map information stored in the memory.
2. The people flow prediction device according to claim 1 ,
wherein the processor allocates the event attendance so that an allocation ratio decreases as the distance of each one of the pathways to walk is longer.
3. The people flow prediction device according to claim 2 ,
wherein the processor allocates the event attendance as a function of temporal distribution having a peak time of a people flow based on event date/time in event information which has been input.
4. The people flow prediction device according to claim 3 ,
wherein the processor creates people flow data along each one of the pathways to walk based on the allocation ratio and the temporal distribution.