GD-ML/GenMRP

这是论文《GenMRP: 一种生成式多路径规划框架，用于高效和个性化的实时工业导航》的数据集。数据集包含以下特征类型：1. 链接特征：包括道路段属性，形状为K * 2 * N，关键特征有链接长度和链接车道宽度；2. 频率特征：记录用户过去三个月的旅行历史，形状为K * 2 * 10 * 7，关键特征有Delta Day和历史状态；3. 场景特征：表示路线推荐的上下文信息，形状为1 * 10，关键特征有请求时间和用户对起点和目的地的熟悉程度；4. 长特征：按时间顺序排列的一系列路线选择记录，形状为T * 31，关键特征有选择的路线特征和未选择的路线特征。

This is the dataset for our paper GenMRP: A Generative Multi-Route Planning Framework for Efficient and Personalized Real-Time Industrial Navigation. The dataset includes the following feature types: 1. Link Features: Includes the road segment attributes, shape K * 2 * N, key features like Link length and Link Lane width; 2. Frequency Features: Logs the users travel history within the past three months, shape K * 2 * 10 * 7, key features like Delta Day and History status; 3. Scene Features: Represent the contextual information of route recommendation, shape 1 * 10, key features like Request time and User familiarity with the origin and destination; 4. Long Features: A series of route selection records arranged in chronological order, shape T * 31, key features like Selected route features and Unselected route features.