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06/19/2022
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting
With accurate and timely traffic forecasting, the impacted traffic condi...
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08/02/2020
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing
Our world is moving towards the goal of fully autonomous driving at a fa...
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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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03/05/2019
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact
Traffic speed prediction is a critically important component of intellig...
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02/20/2018
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Traffic forecasting is a challenging task, due to the complicated spatia...
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01/07/2018