University of Delaware Scaled Smart City (UDSSC)
收藏arXiv2025-09-30 收录
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https://sites.google.com/view/iccps-policy-transfer
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资源简介：
该数据集是一个1:25比例的互联与自动化车辆测试平台，用于评估从深度强化学习得出的交通控制策略的性能。该数据集包含了在多种流入设置下，使用强化学习（RL）控制器和智能驾驶员模型（IDM）控制器进行控制的车辆模拟。在此测试平台中，任务是对环岛场景下的自动驾驶车辆进行交通控制及策略迁移。
This dataset is a 1:25 scaled connected and automated vehicle (CAV) testbed for evaluating the performance of traffic control strategies derived from deep reinforcement learning. It contains vehicle simulations controlled by reinforcement learning (RL) controllers and intelligent driver model (IDM) controllers under various inflow configurations. The task of this testbed focuses on traffic control and policy transfer for autonomous vehicles in roundabout scenarios.
提供机构：
University of Delaware
