VeloCity：去中心化多智能体城市交通管理框架
原标题：Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning
AI 摘要
本文提出 VeloCity，一种面向网联自动驾驶汽车（CAV）的去中心化多智能体时空移动性规划框架，用于任意城市区域的交通管理。该框架将移动性优化分布到各车辆，通过本地协调器进行时空槽预留，无需场景特定调整即可保证无碰撞且物理可行的轨迹。在东京、曼哈顿、罗马和博洛尼亚四个真实城市地图上的大规模仿真表明，VeloCity 相比现有模型显著降低出行时间，并能在高密度下防止拥堵死锁。
正文节选
Computer Science > Multiagent Systems Title:Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning View PDF HTML (experimental) Abstract:As modern cities face increasingly severe traffic congestion, connected and autonomous vehicles (CAVs) have emerged as a crucial enabling technology for next-generation intelligent traffic management. However, fully realizing this potential is hindered by the limitations of current paradigms. Existing approa