考虑时间区间、天气和乘客数量趋势的多重 LSTM 公交车乘客量预测（英文版）

英文标题：Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM中文摘要：通过设计 LSTM-based 架构和输入过去的巴士乘客、星期几、时间段、天气情况和降雨量等所有相关数据作为特征，本研究提出了一种巴士乘客高度准确的预测模型，以提高服务质量。结果表明，该模型平均和最高准确率分别提高了 23% 和 27%。英文摘要：Public transportation has been essential in people's lives in recent years.Bus ridership is a factor in people's choice to board the bus. Therefore, fromthe perspective of improving service quality, it is important to informpassengers who have not boarded the bus yet about