Runjia Du

Orcid: 0000-0001-8403-4715

According to our database1, Runjia Du authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dynamic urban traffic rerouting with fog-cloud reinforcement learning.
Comput. Aided Civ. Infrastructure Eng., March, 2024

Driver Digital Twin for Online Recognition of Distracted Driving Behaviors.
IEEE Trans. Intell. Veh., February, 2024

2023
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information.
CoRR, 2023

Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Scalable Traffic Signal Controls Using Fog-Cloud Based Multiagent Reinforcement Learning.
Comput., 2022

2021
Reason induced visual attention for explainable autonomous driving.
CoRR, 2021

Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture.
CoRR, 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

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

A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment.
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

Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020


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