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05/26/2023
Better Batch for Deep Probabilistic Time Series Forecasting
Deep probabilistic time series forecasting has gained significant attent...
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01/17/2023
Enhancing Deep Traffic Forecasting Models with Dynamic Regression
A common assumption in deep learning-based multivariate and multistep tr...
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12/10/2022
Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting
Existing deep learning-based traffic forecasting models are mainly train...
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01/15/2022
A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data
The mortality rate for pedestrians using wheelchairs was 36 overall popu...
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11/15/2021
Deep Learning based Urban Vehicle Trajectory Analytics
A `trajectory' refers to a trace generated by a moving object in geograp...
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08/01/2021
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
In many trajectory-based applications, it is necessary to map raw GPS tr...
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07/28/2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning
Recently, there are an abundant amount of urban vehicle trajectory data ...
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12/18/2018