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09/02/2023
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information
Intelligent vehicle anticipation of the movement intentions of other dri...
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10/11/2021
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
Optimizing traffic signal control (TSC) at intersections continues to po...
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10/11/2021
Reason induced visual attention for explainable autonomous driving
Deep learning (DL) based computer vision (CV) models are generally consi...
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10/11/2021
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
Past research and practice have demonstrated that dynamic rerouting fram...
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10/12/2020
Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion
Active Traffic Management strategies are often adopted in real-time to a...
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09/30/2020
