Główne pojęcia
Proposing a bi-level control approach for coordinated lane-changings in weaving sections using CAVs.
Streszczenie
The paper introduces a bi-level control strategy for managing lane changes in weaving sections using connected and automated vehicles (CAVs). The upper level employs deep reinforcement learning to determine control weights, while the lower level uses model predictive control within each CAV. The proposed method outperforms existing benchmarks in a case study inspired by a real weaving section in Basel, Switzerland.
Structure:
- Introduction to Weaving Sections as Highway Bottlenecks
- Benefits of Connected and Automated Vehicles (CAVs)
- Existing Methods for Lane-Changing Control
- Proposed Bi-Level Control Approach
- Simulation Study and Results
Statystyki
"The capacity drop phenomenon can reduce discharge flow by 3%-20% after congestion onset."
"Our method consistently outperforms state-of-the-art benchmarks."
Cytaty
"Connected and automated vehicles can provide holistic and predictive information about the weaving section."
"Global coordinated control is essential for improving traffic efficiency in weaving sections."