Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

25 February 2019

Papers citing "Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference"

6 / 6 papers shown

Title
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks Yue Hu Yuhang Zhang Yanbing Wang D. Work GNN 46 8 0 23 Apr 2023
Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs Tong Nie Guoyang Qin Yunpeng Wang Jiangming Sun 129 15 0 10 Mar 2023
Modeling Network-level Traffic Flow Transitions on Sparse Data Xiaoliang Lei Hao Mei Bin Shi Hua Wei 52 21 0 13 Aug 2022
Learning to Simulate on Sparse Trajectory Data Hua Wei Chacha Chen Chang-rui Liu Guanjie Zheng Z. Li 43 13 0 22 Mar 2021
Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration Xi Yang Suining He 19 2 0 13 Aug 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values Xianfeng Tang Huaxiu Yao Yiwei Sun Charu C. Aggarwal P. Mitra Suhang Wang AI4TS 86 120 0 22 Nov 2019