Multi-Class Routing Game
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/jiayangli-nu/Differentiable-Bilevel-Programming
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资源简介：
该数据集基于模拟多类别路由游戏的交通运输管理问题，重点关注连接自动化车辆（CAVs）和人工驾驶车辆（HDVs）在拥堵定价、容量扩展和路径控制方面的挑战。所有算法均采用Python 3.9.12和PyTorch 1.12.0进行编码。该数据集支持在Stackelberg拥堵游戏中对前向传播和后向传播算法的性能进行评估，适用于大规模交通运输网络，其任务是对解决Stackelberg拥堵游戏的算法性能进行评估。
This dataset is built upon a traffic management problem simulated via multi-class routing games, focusing on the challenges faced by Connected Automated Vehicles (CAVs) and Human-driven Vehicles (HDVs) in congestion pricing, capacity expansion and route control. All algorithms are implemented using Python 3.9.12 and PyTorch 1.12.0. This dataset supports performance evaluation of forward propagation and backpropagation algorithms in Stackelberg congestion games, and is applicable to large-scale transportation networks, with its core task being the evaluation of algorithm performance for solving Stackelberg congestion games.
