4 papers
LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning
Tengfei Lyu, Siyuan Feng, Hao Liu +1
Ride-hailing platforms face significant challenges in optimizing order dispatching and driver repositioning operations in dynamic urban environments. Traditional approaches based o…
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach
Taijie Chen, Zijian Shen, Siyuan Feng +2
As ride-hailing services have experienced significant growth, the majority of research has concentrated on the dispatching mode, where drivers must adhere to the platform's assigne…
A multi-functional simulation platform for on-demand ride service operations
Siyuan Feng, Taijie Chen, Yuhao Zhang +3
On-demand ride services or ride-sourcing services have been experiencing fast development in the past decade. Various mathematical models and optimization algorithms have been deve…
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Kehua Chen, Yuxuan Liang, Jindong Han +3
Accurate traffic prediction is essential for effective urban management and the improvement of transportation efficiency. Recently, data-driven traffic prediction methods have been…