Fine-grained passenger load prediction inside metro network via smart card data

• Main Authors: TIAN, Xiancai, ZHANG, Chen, ZHENG, Baihua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Public transportation; metro system; passenger load; Singapore; Asian Studies; Operations Research, Systems Engineering and Industrial Engineering; Theory and Algorithms; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/9725; https://ink.library.smu.edu.sg/context/sis_research/article/10725/viewcontent/Fine_GrainedPassenger_pvoa_cc_by.pdf
• Institution: Singapore Management University

Metro system serves as the backbone for urban public transportation. Accurate passenger load prediction for the metro system plays a crucial role in metro service quality improvement, such as helping operators schedule train timetables and passengers plan their trips. However, existing works can onl...