aasiya2001/PublicTransportAI

PublicTransportAI是一个公开数据集，专注于巴西戈亚尼亚市城市公共交通的需求预测。该数据集作为《巴西技术杂志》上发表的研究的一部分开发，包含用于训练1D卷积神经网络（CNN）进行每日乘客需求预测的结构化和原始数据。数据集捕获了Eixo Anhanguera走廊（该市主要公交路线之一）的登车需求，提供按工作日和时段分类（如学校、假期、假日）分解的每日观察数据。数据集时间跨度为2013-2016年，格式为CSV和XLSX。

PublicTransportAI is a public dataset focused on demand forecasting for urban public transportation in Goiânia (Brazil). It was developed as part of the research published in the Brazilian Journal of Technology and includes structured and raw data used to train 1D Convolutional Neural Networks (CNNs) for daily passenger demand prediction. The dataset captures boarding demand from the Eixo Anhanguera corridor, one of the citys main bus routes, providing daily observations disaggregated by weekday and period classification (e.g., school, vacation, holiday). The time span is 2013–2016, and the formats are CSV and XLSX.