53 citations · 128 across the 6 of their papers we have counts for
6 papers
Car-Following Models: A Multidisciplinary Review
Tianya Zhang, Ph. D., Peter J. Jin +3
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems…
Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
Tianya T. Zhang Ph. D., Peter J. Jin Ph. D., Han Zhou +2
Spatial-temporal Map (STMap)-based methods have shown great potential to process high-angle videos for vehicle trajectory reconstruction, which can meet the needs of various data-d…
Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
Tianya Zhang, Yi Ge, Peter J. Jin
Background modeling is widely used for intelligent surveillance systems to detect moving targets by subtracting the static background components. Most roadside LiDAR object detecti…
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks
Tianya T. Zhang, Peter J. Jin
This paper presents a machine-learning-enhanced longitudinal scanline method to extract vehicle trajectories from high-angle traffic cameras. The Dynamic Mode Decomposition (DMD) m…
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
Tianya Zhang
Traffic state data, such as speed, volume and travel time collected from ubiquitous traffic monitoring sensors require advanced network level analytics for forecasting and identify…
Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction
Tianya Zhang, Peter J. Jin
In this paper, we developed the solution of roadside LiDAR object detection using a combination of two unsupervised learning algorithms. The 3D point clouds are firstly converted i…