Since its establishment in 1999, the Metro Rail Transit Line 3 (MRT3) has served as a transportation option for numerous passengers in Metro Manila, Philippines. The Philippine government's transportation department records more than a thousand people using the MRT3 daily and forecasting the daily passenger count may be rather challenging. The MRT3's daily ridership fluctuates owing to variables such as holidays, working days, and other unexpected issues. Commuters do not know how many other commuters are on their route on a given day, which may hinder their ability to plan an efficient itinerary. Currently, the DOTr depends on spreadsheets containing historical data, which might be challenging to examine. This study presents a time series prediction of daily traffic to anticipate future attendance at a particular station on specific days.

翻译：自1999年成立以来，菲律宾马尼拉地铁三号线（MRT3）已成为众多乘客的交通选择。菲律宾政府交通部门记录每天有超过一千人使用MRT3，而预测每天的乘客数量可能相当具有挑战性。MRT3的日常乘客数量波动很大，这是由于节假日、工作日和其他意外问题等变量所致。乘客不知道在特定日子是否还有许多其他乘客使用同一路线，这可能会妨碍他们制定高效的行程。目前，DOTr依赖包含历史数据的电子表格，这可能很难进行分析。本研究提供了一种时间序列预测，以预测未来某个站点在特定的日期的客流量。