May 6, 2024 · This research explores a novel approach to traffic optimization by employing a multi-agent rollout approach within a mixed autonomy environment.

May 6, 2024 · This research explores a novel approach to traffic optimization by employing a multi-agent rollout algorithm in a mixed autonomy environment.

A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy. L Liu, M Wang, MO Pun, X Xiong. arXiv preprint arXiv:2405.03132, 2024. 2 ...

This work studies the ability of autonomous vehicles to improve the throughput of a bottleneck using a fully decentralized control scheme in a mixed ...

这项研究探索了一种新的交通优化方法，通过在混合自主驾驶环境中采用多智能体展开方法来协调人类驾驶车辆的速度，从而动态优化交通流量，减轻高速公路瓶颈处的拥堵。

Oct 1, 2024 · A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy · Liu, Lu, Tongji University. Wang, Maonan, Shanghai ...

(September 2024) “A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in. Mixed Autonomy.” Page 5. • 2024 COTA International Conference of ...

Nov 19, 2024 · A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy. CoRR abs/2405.03132 (2024). [i18]. view. electronic ...

Identifying the bottleneck segments and developing targeted traffic control strategies can facilitate the mitigation of highway traffic congestion.

Dec 9, 2024 · In this paper, we introduce CoMAL (Collaborative Multi-Agent LLMs), a framework designed to address the mixed-autonomy traffic problem by ...