Because an increase of “future events” that are events not organized in the past like the 2020 Olympic and Paralympic is possible, communicating a large amount of “future events” traffic efficiently with appropriate quality is a challenge.
A conventional method of predicting a event traffic is for regularly-scheduled events. Thus, applying this method to future events is difficult.
We have studied a spatio-temporal traffic prediction based on models of event-specific communication behavior combined with human mobility. Furthermore, focusing on purposes of human behavior are aggregated by event types, we have developed an efficient traffic prediction technology by using multi-agent simulation.
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