Publications (11)
Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments
Feng Liu, Kejia Li, Zhiwei Yang +5
Although Global Navigation Satellite Systems (GNSS) provide a general solution for bike tracking outdoors, there still exist complex riding environments where only inertial navigat…
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
Ao Fu, Yi Zhou, Tao Zhou +5
World models and video generation are pivotal technologies in the domain of autonomous driving, each playing a critical role in enhancing the robustness and reliability of autonomo…
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li, Zhiwei, Qin +7
A fundamental question in any peer-to-peer ridesharing system is how to, both effectively and efficiently, dispatch user's ride requests to the right driver in real time. Tradition…
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Ming Zhou, Jiarui Jin, Weinan Zhang +6
Improving the efficiency of dispatching orders to vehicles is a research hotspot in online ride-hailing systems. Most of the existing solutions for order-dispatching are centralize…
Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems
Chang Liu, Jiahui Sun, Haiming Jin +7
Nowadays, ridesharing has become one of the most popular services offered by online ride-hailing platforms (e.g., Uber and Didi Chuxing). Existing ridesharing platforms adopt the s…
A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
Lingyu Zhang, Pengfei Xu, Guobin Wu +4
Traffic demand prediction plays a critical role in intelligent transportation systems. Existing traffic prediction models primarily rely on temporal traffic data, with limited effo…