Xu Qu
According to our database1,
Xu Qu
authored at least 14 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Network Traffic Model for the Control of Autonomous Vehicles Acting as Moving Bottlenecks.
IEEE Trans. Intell. Transp. Syst., September, 2023
Salient Feature Enhanced Multi-object Tracking with Soft-Sparse Attention in Transformer.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
A Variable Speed Limit Control Based on Variable Cell Transmission Model in the Connecting Traffic Environment.
IEEE Trans. Intell. Transp. Syst., 2022
Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling.
IEEE Trans. Intell. Transp. Syst., 2022
2021
Controlling the Connected Vehicle with Bi-Directional Information: Improved Car-Following Models and Stability Analysis.
Sensors, 2021
A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory.
IEEE Access, 2021
2020
Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment.
IEEE Trans. Intell. Transp. Syst., 2020
Deep Learning Based Vehicle Position Estimation for Human Drive Vehicle at Connected Freeway.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
A network traffic model with controlled autonomous vehicles acting as moving bottlenecks.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm.
Knowl. Based Syst., 2019
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model.
J. Intell. Transp. Syst., 2019
Model-based Predictive Variable Speed Limit Control on Multi-lane Freeways with A Line of Connected Automated Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
A Novel Approach to Estimate Freeway Traffic State: Parallel Computing and Improved Kalman Filter.
IEEE Intell. Transp. Syst. Mag., 2018
Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network.
Appl. Soft Comput., 2018