Chinatown

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. The Chinatown data problem is to predict week of the day based on the time series of pedestrian volumes. The City of Melbourne, Australia has developed an automated pedestrian counting system to better understand pedestrian activity within the municipality, such as how people use different city locations at different time of the day. The data analysis can facility decision making and urban planning for the future. This data is from 10 locations for the whole year 2017. Time series are pedestrian count in Chinatown-Swanston St (North for 12 months of the year 2017. Classes are based on whether data are from a normal day or a weekend day. Class 1: Weekend Class 2: Weekday There is nothing to infer from the order of examples in the train and test set. Data source: City of Melbourne http://www.pedestrian.melbourne.vic.gov.au/#date=11-06-2018&time=4. Data edited by Hoang Anh Dau. Donator: H.A. Dau