activity
20202026
most citedHAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving

83 citations · 265 across the 29 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

eess.SY2020★ 10 cited

Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization

Yujie Li, Sikai Chen, Runjia Du +3

Emerging transportation technologies offer unprecedented opportunities to improve the efficiency of the transportation system from the perspectives of energy consumption, congestio…

eess.SY2020★ 24 cited

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

Runjia Du, Sikai Chen, Yujie Li +3

In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the transition era which will be characterized by mixed traffic (where CAVs and human-driven vehicl…

cs.AI2020★ 39 cited

A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network

Jiqian Dong, Sikai Chen, Paul Young Joun Ha +2

Connected Autonomous Vehicle (CAV) Network can be defined as a collection of CAVs operating at different locations on a multilane corridor, which provides a platform to facilitate…

cs.LG2020★ 20 cited

Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion

Paul Young Joun Ha, Sikai Chen, Jiqian Dong +3

Active Traffic Management strategies are often adopted in real-time to address such sudden flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts speeds…

cs.AI2020★ 15 cited

Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control

Jiqian Dong, Sikai Chen, Yujie Li +3

The connectivity aspect of connected autonomous vehicles (CAV) is beneficial because it facilitates dissemination of traffic-related information to vehicles through Vehicle-to-Exte…

eess.SY2020★ 23 cited

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

Yujie Li, Sikai Chen, Paul Young Joun Ha +3

The erratic nature of human driving tends to trigger undesired waves that amplify as successive driver reactions propagate from the errant vehicle to vehicles upstream. Known as ph…