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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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08/29/2023
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
The exponential growth of electric vehicles (EVs) presents novel challen...
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08/28/2023
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories
With ongoing development of autonomous driving systems and increasing de...
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10/11/2021
Using UAVs for vehicle tracking and collision risk assessment at intersections
Assessing collision risk is a critical challenge to effective traffic sa...
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10/11/2021
Towards Safer Transportation: a self-supervised learning approach for traffic video deraining
Video monitoring of traffic is useful for traffic management and control...
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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
Development and testing of an image transformer for explainable autonomous driving systems
In the last decade, deep learning (DL) approaches have been used success...
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10/11/2021
Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV
It is anticipated that the era of fully autonomous vehicle operations wi...
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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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10/11/2021
Estimating IRI based on pavement distress type, density, and severity: Insights from machine learning techniques
Surface roughness is primary measure of pavement performance that has be...
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10/12/2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network
Connected Autonomous Vehicle (CAV) Network can be defined as a collectio...
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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
