Multi-intersection Traffic Optimisation Dataset

本研究提出的多交叉口交通优化数据集包含一个合成地图和多个来自曼哈顿和苏州的实际地图，以及相应的实际交通流量数据。数据集设计旨在模拟更复杂的交通场景，包括合成和实际的交通流量。创建过程中，研究者精心设计了设置，确保数据集能够支持复杂的交通优化问题研究。该数据集适用于开发和测试智能交通控制算法，特别是在多交叉口环境下，旨在减少交通拥堵和提高交通效率。The multi-intersection traffic optimization dataset proposed in this study includes one synthetic map, multiple real-world maps collected from Manhattan and Suzhou, along with the corresponding real traffic flow data. The dataset is engineered to simulate more intricate traffic scenarios, encompassing both synthetic and real-world traffic flows. During its development, researchers meticulously designed the configuration settings to ensure the dataset can support investigations into complex traffic optimization problems. This dataset is suitable for developing and validating intelligent traffic control algorithms, particularly in multi-intersection settings, with the goal of alleviating traffic congestion and boosting transportation efficiency.