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02/04/2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Car-following refers to a control process in which the following vehicle...
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12/09/2021
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection
Accurate and efficient pedestrian detection is crucial for the intellige...
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04/19/2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Real-time traffic prediction models play a pivotal role in smart mobilit...
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05/24/2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Short-term traffic forecasting based on deep learning methods, especiall...
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12/10/2019
Graph Markov Network for Traffic Forecasting with Missing Data
Traffic forecasting is a classical task for traffic management and it pl...
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11/01/2019
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
An accurate road surface friction prediction algorithm can enable intell...
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11/01/2019
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data
Road surface friction significantly impacts traffic safety and mobility....
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11/01/2019
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data
Transit ridership flow and origin-destination (O-D) information is essen...
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10/13/2019