北京市公共交通网络多源数据融合分析数据集

为实现公共交通网络运行态势的仿真算法验证及性能测试、开展客流车流大数据融合及挖掘方法研究，搭建了某城市公共交通网络客流仿真分析数据库，数据包括：地铁线网信息、运营信息、地铁客流信息、公交线网信息、公交客流指标信息等。其中，线网信息为交通运营单位发布的开源数据；公交网络为互联网开放数据。此外，数据库还包括了由上述数据为基础，仿真分析产生的结果数据集。

To verify simulation algorithms and perform performance tests for the operational state of public transit networks, as well as conduct research on big data fusion and mining methods for passenger and vehicle flows, a passenger flow simulation and analysis database for a city's public transit network was constructed. The database includes subway network information, operational information, subway passenger flow information, bus network information, bus passenger flow indicator information, and other relevant data. Among them, the network information is open-source data released by traffic operation authorities; the bus network data is open data from the internet. Additionally, the database also contains result datasets generated via simulation analysis based on the aforementioned data.

搜集汇总

背景与挑战

背景概述

该数据集包含北京市公共交通网络的多源数据，涵盖地铁和公交的线网、运营及客流信息，以及基于这些数据的仿真分析结果，旨在支持公共交通网络运行态势的仿真算法验证及客流车流大数据融合研究。数据量为141.87MB，包含19个文件。