Building Change Dataset
Explain the urban structure, and its development pattern with heterogeneous features of buildings
Visualization: Link
July 2023
Deep-learning Demand Prediction Models (Pytorch)
We present pytorch implementation of the popular deep-learning models in the following git repository:Github: https://github.com/cdsnlab/demand-pytorch demand-pytorch Results We report MAE in Beijing taxi flow prediction dataset for each prediction steps. Model bj-flow (15 min) bj-flow (30 min) bj-flow (1 hour) ConvLSTM STResNet DeepSTN We report RMSE and MAPE in NYC taxi flow prediction dataset. Model …
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Deep-learning Traffic Prediction Models (Pytorch)
We present pytorch implementation of the popular deep-learning models in the following git repository:Github: https://github.com/cdsnlab/traffic-pytorch traffic-pytorch Integrated platform for urban intelligence tasks including traffic and demand prediction. Traffic prediction We report MAE / RMSE in pems-bay dataset (12 steps / 1 hour). Model MAE RMSE DCRNN 0.92 1.58 GMAN 1.99 3.87 WaveNet 4.70 7.53 We …
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Challenges and Opportunities in Applying Deep Learning Models to Urban Datasets
Urban systems are characterized by their complexity and dynamic nature, with numerous variables and interactions among various elements of the built environment. Traditional approaches to urban analysis and planning can be time-consuming and resource-intensive. However, recent advancements in deep learning techniques provide powerful tools for analyzing and comprehending urban datasets. In this article, we introduce …
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