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deepkashiwa20 / DeepUrbanEvent

[ACM TIST 2021] [KDD 2019 Paper Applied Data Science Track] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events
MIT License
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data #1

Open sixpence01 opened 11 months ago

sixpence01 commented 11 months ago

I am conducting research that could benefit from the dataset used in your paper. Could you please provide access to this data?

deepkashiwa20 commented 11 months ago

I am conducting research that could benefit from the dataset used in your paper. Could you please provide access to this data?

Hi there, thanks a lot for your interest in our work. Unfortunately, the dataset used in this paper can't be published nor be accessed by other research groups. We are deeply sorry for this. Instead, you could check the following papers.

[TKDE21] publishes a grid-based crowd density and flow dataset in Tokyo and Osaka. [TKDE21] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction https://github.com/deepkashiwa20/DeepCrowd

[AAAI23] publishes a graph-based traffic speed dataset for all Tokyo expreseway links. [AAAI23]Spatio-Temporal Meta-Graph Learning for Traffic Forecasting https://github.com/deepkashiwa20/MegaCRN