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High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting., , , and . CoRR, (2018)Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact., , , and . CoRR, (2019)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting, , , , and . (2018)cite arxiv:1802.07007.Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels., , , , , and . CoRR, (2022)Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme., , , and . IEEE Trans. Intell. Transp. Syst., 23 (12): 23311-23323 (2022)Integrated Optimization for Commuting Customized Bus Stop Planning, Routing Design, and Timetable Development With Passenger Spatial-Temporal Accessibility., , and . IEEE Trans. Intell. Transp. Syst., 22 (4): 2060-2075 (2021)Development of a loop detector simulator (LOOPSIM) for in-laboratory traffic research and education., , and . Comput. Appl. Eng. Educ., 16 (1): 45-54 (2008)Data-driven Traffic Simulation: A Comprehensive Review., , , , and . CoRR, (2023)Traffic flow prediction based on hybrid model using double exponential smoothing and support vector machine., , , , , and . ITSC, page 130-135. IEEE, (2013)Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification., , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (10): 19246-19257 (2022)