城市兴趣点与交通仿真数据集

该数据集包括城市兴趣点数据集和城市路网交通分布式仿真数据集，在2022年11月在Ubuntu 20.04系统上通过运行Python 3.8程序处理得到。城市兴趣点数据集包含整合与处理的纽约兴趣点（POI）数据集，可以用于描述城市区域环境、构建城市特征等方面。交通仿真的输入是仿真区域的路网基本信息和所有车辆的出发时间、出发地点和目的地（OD），可用于城市环境建模和协同决策仿真。数据量14MB。

This dataset comprises two core components: the urban point-of-interest (POI) dataset and the distributed urban road network traffic simulation dataset. It was processed in November 2022 by executing a Python 3.8 program on an Ubuntu 20.04 operating system. The urban POI dataset includes integrated and preprocessed New York City POI data, which can be applied to tasks such as describing urban regional environments and constructing urban features. The input parameters for the traffic simulation cover the basic road network information of the simulation area, as well as the departure time, departure location and origin-destination (OD) pairs of all vehicles, and can be used for urban environment modeling and collaborative decision-making simulation experiments. The total size of this dataset is 14 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含纽约兴趣点（POI）数据集和城市路网交通分布式仿真数据集，可用于城市区域环境描述、城市特征构建及城市环境建模和协同决策仿真。数据量为14MB，于2022年11月在Ubuntu 20.04系统上通过Python 3.8程序处理得到。