Weike Lu
Orcid: 0000-0003-0809-3590
According to our database1,
Weike Lu
authored at least 12 papers
between 2021 and 2024.
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., September, 2024
A dynamic graph deep learning model with multivariate empirical mode decomposition for network-wide metro passenger flow prediction.
Comput. Aided Civ. Infrastructure Eng., September, 2024
End-to-End Autonomous Driving Decision Method Based on Improved TD3 Algorithm in Complex Scenarios.
Sensors, August, 2024
The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5.
Sensors, August, 2024
Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning.
Expert Syst. Appl., 2024
2023
Research on route hierarchical control strategy from the perspective of macroscopic traffic network.
J. Intell. Transp. Syst., November, 2023
Appl. Soft Comput., July, 2023
2022
Multi-precision traffic speed predictions via modified sequence to sequence model and spatial dependency evaluation method.
Appl. Soft Comput., 2022
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022
2021
CoRR, 2021
Mining the Graph Representation of Traffic Speed Data for Graph Convolutional Neural Network.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Analysis of Different Graph Convolutional Network Prediction Models with Spatial Dependence Evaluation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021