Jiqian Dong
According to our database1,
Jiqian Dong
authored at least 20 papers
between 2018 and 2024.
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Collaborative distances:
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Bibliography
2024
Comput. Aided Civ. Infrastructure Eng., March, 2024
2023
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles.
CoRR, 2023
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories.
CoRR, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2021
Development and testing of an image transformer for explainable autonomous driving systems.
CoRR, 2021
Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV.
CoRR, 2021
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture.
CoRR, 2021
Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles.
Comput. Aided Civ. Infrastructure Eng., 2021
A Cooperative Crash Avoidance Framework for Autonomous Vehicle under Collision-Imminent Situations in Mixed Traffic Stream.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
GAQ-EBkSP: A DRL-based Urban Traffic Dynamic Rerouting Framework using Fog-Cloud Architecture.
Proceedings of the IEEE International Smart Cities Conference, 2021
2020
Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization.
CoRR, 2020
CoRR, 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network.
CoRR, 2020
Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion.
CoRR, 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control.
CoRR, 2020
Leveraging Vehicle Connectivity and Autonomy to Stabilize Flow in Mixed Traffic Conditions: Accounting for Human-driven Vehicle Driver Behavioral Heterogeneity and Perception-reaction Time Delay.
CoRR, 2020
Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2018
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery.
CoRR, 2018