Weike Lu

Orcid: 0000-0003-0809-3590

According to our database1, Weike Lu authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction.
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

A Dueling Deep Q-Network method for low-carbon traffic signal control.
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

Modelling Emergency Rescue System on Highways: A Queueing Approach.
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022

2021
A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems.
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


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