Cooperative driving for speed harmonization in mixed-traffic environments

[PDF] arxiv.org

Designing, simulating, and performing the 100-av field test for the circles consortium: Methodology and implementation of the largest mobile traffic control experiment …

M Ameli, S McQuade, JW Lee, M Bunting… - arXiv preprint arXiv …, 2024 - arxiv.org
Previous controlled experiments on single-lane ring roads have shown that a single partially
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …
被引用次数：3 相关文章 所有 3 个版本
[PDF] arxiv.org

Traffic control via connected and automated vehicles: An open-road field experiment with 100 cavs

JW Lee, H Wang, K Jang, A Hayat, M Bunting… - arXiv preprint arXiv …, 2024 - arxiv.org
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," …
被引用次数：3 相关文章 所有 3 个版本
[PDF] arxiv.org

Hierarchical speed planner for automated vehicles: A framework for lagrangian variable speed limit in mixed autonomy traffic

H Wang, Z Fu, J Lee, HNZ Matin, A Alanqary… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces a novel control framework for Lagrangian variable speed limits in
hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was …
被引用次数：2 相关文章 所有 3 个版本

Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios

VA Le, B Chalaki, FN Tzortzoglou… - arXiv preprint arXiv …, 2023 - arxiv.org
Addressing safe and efficient interaction between connected and automated vehicles
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …
被引用次数：4 相关文章 所有 2 个版本
[PDF] arxiv.org

Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test

K Jang, N Lichtlé, E Vinitsky, A Shah, M Bunting… - arXiv preprint arXiv …, 2024 - arxiv.org
In this article, we explore the technical details of the reinforcement learning (RL) algorithms
that were deployed in the largest field test of automated vehicles designed to smooth traffic …
被引用次数：1 相关文章 所有 3 个版本
[PDF] arxiv.org

Traffic smoothing controllers for autonomous vehicles using deep reinforcement learning and real-world trajectory data

N Lichtlé, K Jang, A Shah, E Vinitsky… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Designing traffic-smoothing cruise controllers that can be deployed onto autonomous
vehicles is a key step towards improving traffic flow, reducing congestion, and enhancing …
被引用次数：1 相关文章 所有 4 个版本