20 citations · 22 across the 7 of their papers we have counts for
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cs.LG2025
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
Minxiao Chen, Haitao Yuan, Nan Jiang +4
Online map matching is a fundamental problem in location-based services, aiming to incrementally match trajectory data step-by-step onto a road network. However, existing methods f…
cs.LG2025★ 1 cited
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Zhihan Zheng, Haitao Yuan, Minxiao Chen +1
En Route Travel Time Estimation (ER-TTE) aims to learn driving patterns from traveled routes to achieve rapid and accurate real-time predictions. However, existing methods ignore t…
cs.LG2024★ 1 cited
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
Zhengyang Zhao, Haitao Yuan, Nan Jiang +3
Accurate Traffic Prediction is a challenging task in intelligent transportation due to the spatial-temporal aspects of road networks. The traffic of a road network can be affected…