基于交通流的1000万维仿真场景数据集

本数据集包括一个由成都公交真实路网提取出的包含50个关键节点和1000条关键边的路网和10万辆汽车的路由信息。同时还包括各个节点的重要程度信息和各个时间点各道路的拥挤程度等信息。本数据集可用于研究车路协调机制，也可用于研究交通分配方法和交通信号控制方法相结合的动态交通流优化方法。

This dataset consists of a road network extracted from the real road network of Chengdu's public bus transit system, which includes 50 key nodes and 1,000 key edges, as well as routing information for 100,000 vehicles. It also covers information such as the importance degree of each node and the congestion level of each road at various time points. This dataset can be utilized to study vehicle-road coordination mechanisms, as well as dynamic traffic flow optimization methods that combine traffic assignment methods and traffic signal control methods.

搜集汇总

背景与挑战

背景概述

该数据集是基于成都公交真实路网构建的交通流仿真场景数据集，包含50个关键节点、1000条关键边和10万辆汽车的路由信息，以及节点重要程度和道路拥挤程度等数据。数据集规模为3.6GB，共3520个文件，适用于车路协调机制研究和动态交通流优化方法研究。