no code implementations • 29 Apr 2024 • Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan
Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems.
no code implementations • 12 Feb 2024 • Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan
In this paper, we propose a new problem to meet the practical application need, \emph{i. e.}, road network-constrained trajectory (RNTraj) generation, which can directly generate trajectories on the road network with road-related information.
1 code implementation • 11 Feb 2024 • Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
However, most methods target only one specific task and cannot be applied universally.
no code implementations • 3 Sep 2023 • Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
An emerging research area within these services is service Route\&Time Prediction (RTP), which aims to estimate the future service route as well as the arrival time of a given worker.
no code implementations • 6 Jul 2023 • Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D when departing at T. ODT-Oracles serve important purposes in map-based services.
no code implementations • 29 Jul 2022 • Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin
Spatio-temporal trajectories provide valuable information about movement and travel behavior, enabling various downstream tasks that in turn power real-world applications.
2 code implementations • 3 Apr 2020 • Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan
Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning.
Ranked #3 on Traffic Prediction on BJTaxi
2 code implementations • IJCAI-19 2019 • Shengnan Guo, 2 Youfang Lin, 3 Ning Feng, 3 Chao Song, 1, 2 Huaiyu Wan 1, 2, 3∗
The output of the three components are weighted fused to generate the final prediction results.
Ranked #14 on Traffic Prediction on PeMS07