Holistic prediction for public transport crowd flows: A spatio dynamic graph network approach

• Main Authors: HE, Bingjie, LI, Shukai, ZHANG, Chen, ZHENG, Baihua, TSUNG, Fugee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: crowd flows prediction; origin-destination matrix; dynamic; spatial correlation; public transport system; graph attention network; Databases and Information Systems; OS and Networks; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/6299; https://ink.library.smu.edu.sg/context/sis_research/article/7302/viewcontent/ECML_final.pdf
• Institution: Singapore Management University

This paper targets at predicting public transport in-out crowd flows of different regions together with transit flows between them in a city. The main challenge is the complex dynamic spatial correlation of crowd flows of different regions and origin-destination (OD) paths. Different from road traff...