4 citations · 8 across the 10 of their papers we have counts for
16 papers
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…
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…
Scaling of variations in traveling distances and times of taxi routes
Xiaoyan Feng, Huijun Sun, Bnaya Gross +6
The importance of understanding human mobility patterns has led many studies to examine their spatial-temporal scaling laws. These studies mainly reveal that human travel can be hi…
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…
Identifying intercity freight trip ends of heavy trucks from GPS data
Yitao Yang, Bin Jia, Xiao-Yong Yan +3
The intercity freight trips of heavy trucks are important data for transportation system planning and urban agglomeration management. In recent decades, the extraction of freight t…
Identifying intracity freight trip ends from heavy truck GPS trajectories
Yitao Yang, Bin Jia, Xiao-Yong Yan +3
Intracity heavy truck freight trips are basic data in city freight system planning and management. In the big data era, massive heavy truck GPS trajectories can be acquired cost ef…