392 citations · 532 across the 26 of their papers we have counts for
5 papers · 1 filter
ST-former for short-term passenger flow prediction during COVID-19 in urban rail transit system
Shuxin Zhang, Jinlei Zhang, Lixing Yang +2
Accurate passenger flow prediction of urban rail transit is essential for improving the performance of intelligent transportation systems, especially during the epidemic. How to dy…
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method
Yongjie Yang, Jinlei Zhang, Lixing Yang +2
With the prevailing of mobility as a service (MaaS), it becomes increasingly important to manage multi-traffic modes simultaneously and cooperatively. As an important component of…
Spatial-Temporal Attention Fusion Network for short-term passenger flow prediction on holidays in urban rail transit systems
Shuxin Zhang, Jinlei Zhang, Lixing Yang +2
The short term passenger flow prediction of the urban rail transit system is of great significance for traffic operation and management. The emerging deep learning-based models pro…
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems
Jinlei Zhang, Ergang Shan, Lixia Wu +3
Express systems play important roles in modern major cities. Couriers serving for the express system pick up packages in certain areas of interest (AOI) during a specific time. How…
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
Jinlei Zhang, Feng Chen, Lixing Yang +3
Urban rail transit (URT) system plays a dominating role in many megacities like Beijing and Hong Kong. Due to its important role and complex nature, it is always in great need for…