24 citations · 70 across the 8 of their papers we have counts for
8 papers
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information
Runjia Du, Pei Li, Sikai Chen +1
Intelligent vehicle anticipation of the movement intentions of other drivers can reduce collisions. Typically, when a human driver of another vehicle (referred to as the target veh…
Reason induced visual attention for explainable autonomous driving
Sikai Chen, Jiqian Dong, Runjia Du +2
Deep learning (DL) based computer vision (CV) models are generally considered as black boxes due to poor interpretability. This limitation impedes efficient diagnoses or prediction…
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
Paul, Ha, Sikai Chen +2
Optimizing traffic signal control (TSC) at intersections continues to pose a challenging problem, particularly for large-scale traffic networks. It has been shown in past research…
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
Runjia Du, Sikai Chen, Jiqian Dong +3
Past research and practice have demonstrated that dynamic rerouting framework is effective in mitigating urban traffic congestion and thereby improve urban travel efficiency. It ha…
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…
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…