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TaxiBJ Dataset | Papers With Code
TaxiBJ consists of trajectory data from taxicab GPS data and meteorology data in Beijing from four time intervals: 1st Jul. 2013 - 30th Otc. 2013, 1st Mar. 2014 - 30th Jun. 2014, 1st Mar. 2015 - 30th Jun. 2015, 1st Nov. 2015 - 10th Apr. 2016.
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TaxiBJ21: An open crowd flow dataset based on …
datasets are the basis of designing data-driven models, for example, machine learning and deep learning models. However, some well-known datasets, for example,TaxiBJ,becomeunavailablewhentheoriginalsharinglinksaredeleted as the data providers move to new jobs. As an alternative choice, TaxiBJ21 is
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DeepST/README.md at master · …
TaxiBJ consists of the following SIX datasets:. BJ16_M32x32_T30_InOut.h5; BJ15_M32x32_T30_InOut.h5; BJ14_M32x32_T30_InOut.h5; BJ13_M32x32_T30_InOut.h5; BJ_Meteorology.h5; BJ_Holiday.txt; where the first four files are crowd flows in Beijing from the year 2013 to 2016, BJ_Meteorology.h5 is the Meteorological data, BJ_Holiday.txt includes the holidays (and adjacent weekends) of Beijing.
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The Data About TaxiBJ: InFlow/OutFlow, …
Mar 15, 2020 · The Data About TaxiBJ: InFlow/OutFlow, Meteorology and Holidays at Beijing Is Lost #3. UecIceCandy opened this issue Mar 15, 2020 · 2 comments Comments. Copy link UecIceCandy commented Mar 15, 2020. Download data from OneDrive or BaiduYun is lost I need the data to test
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GitHub - liulingbo918/ATFM: Attentive Traffic …
For Crowd Flow Prediction: download TaxiBJ / BikeNYC and put them into folder data/TaxiBJ and data/BikeNYC. For Citywide Passenger Demand Prediction (CPDP): the dataset of CPDP has been in folder data/TaxiNYC. Model Training #
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VLUC Dataset | Papers With Code
VLUC (Video-Like Urban Computing) is a benchmark for video-like computing on citywide traffic density and crowd prediction. It consists of two new datasets BousaiTYO and BousaiOSA and existing datasets TaxiBJ, BikeNYC I-II, and TaxiNYC.
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T-Drive trajectory data sample - Microsoft …
This is a sample of T-Drive trajectory dataset that contains a one-week trajectories of 10,357 taxis. The total number of points in this dataset is about 15 million and the total distance of the trajectories reaches 9 million kilometers. Please cite the following papers when using the dataset:  Jing Yuan, Yu Zheng, Xing Xie, […]
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UCI Machine Learning Repository: Taxi Service …
Jul 11, 2015 · Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015 Data Set Download: Data Folder, Data Set Description. Abstract: An accurate dataset describing trajectories performed by all the 442 taxis running in the city of Porto, in Portugal.
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Analyzing 1.1 Billion NYC Taxi and Uber Trips, …
Nov 17, 2015 · The Uber data is not as detailed as the taxi data, in particular Uber provides time and location for pickups only, not drop offs, but I wanted to provide a unified dataset including all available taxi and Uber data. Each trip in the dataset has a cab_type_id, which indicates whether the trip was in a …
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How big is the NYC Taxi dataset?
I used PostgreSQLto store the data and PostGISto perform geographic calculations, including the heavy lifting of mapping latitude/longitude coordinates to NYC census tracts and neighborhoods. The full dataset takes up 267 GB on disk, before adding any indexes.
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Is the Uber data the same as the taxi data?
The Uber data is not as detailed as the taxi data, in particular Uber provides time and location for pickups only, not drop offs, but I wanted to provide a unified dataset including all available taxi and Uber data. Each trip in the dataset has a cab_type_id, which indicates whether the trip was in a yellow taxi, green taxi, or Uber car.
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What does a taxi trip record look like?
Each individual trip record contains precise location coordinates for where the trip started and ended, timestamps for when the trip started and ended, plus a few other variables including fare amount, payment method, and distance traveled.
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How many taxi trips are there in New York?
The New York City Taxi & Limousine Commission has released a staggeringly detailed historical dataset covering over 1.1 billion individual taxi trips in the city from January 2009 through June 2015. Taken as a whole, the detailed trip-level data is more than just a vast list of taxi pickup and drop off coordinates: it’s a story of New York.
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