QueuePredict - accurate prediction of queue length in public service offices on the basis of Open Urban Data APIs
نویسندگان
چکیده
This paper presents the methods to predict the number of people waiting in queues in Districts Offices of the City of Warsaw. On the basis of information from real-time queues length exposed as a part of Open City Data portal we can predict number of people in given time frame, which can be then used to further estimate predicted waiting time. These information are important and useful for number of people that visit district offices every day. The methods presented in the paper can be used to build a new value-added smart city services.
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