7 citations · 7 across the 3 of their papers we have counts for
4 papers
Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
Qing Lyu, Zhe Fu, Alexandre Bayen
Identifying safety-critical scenarios is essential for autonomous driving, but the rarity of such events makes supervised labeling impractical. Traditional rule-based metrics like…
Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments
Joy Carpio, Sulaiman Almatrudi, Nour Khoudari +5
Accurate estimation of vehicle fuel consumption typically requires detailed modeling of complex internal powertrain dynamics, often resulting in computationally intensive simulatio…
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
Jonathan W. Lee, Han Wang, Kathy Jang +61
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,…
Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic
Han Wang, Zhe Fu, Jonathan Lee +14
This paper introduces a novel control framework for Lagrangian variable speed limits in hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was valid…