Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network. - Linchao Li; Xu Qu; Jian Zhang 011; Hanchu Li; Bin Ran (Appl. Soft Comput., 2018)

A Novel Approach to Estimate Freeway Traffic State: Parallel Computing and Improved Kalman Filter. - Chong Wang 007; Bin Ran; Han Yang; Jian Zhang 011; Xu Qu (IEEE Intell. Transp. Syst. Mag., 2018)

Model-based Predictive Variable Speed Limit Control on Multi-lane Freeways with A Line of Connected Automated Vehicles. - Zhexian Li; Xiake Zhu; Xiaomeng Liu; Xu Qu (ITSC, 2019)

Traffic speed prediction for intelligent transportation system based on a deep feature fusion model. - Linchao Li; Xu Qu; Jian Zhang 011; Yonggang Wang; Bin Ran (J. Intell. Transp. Syst., 2019)

Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm. - Linchao Li; Lingqiao Qin; Xu Qu; Jian Zhang 011; Yonggang Wang; Bin Ran (Knowl. Based Syst., 2019)

A network traffic model with controlled autonomous vehicles acting as moving bottlenecks. - Zhexian Li; Michael W. Levin; Raphael Stem; Xu Qu (ITSC, 2020)

Deep Learning Based Vehicle Position Estimation for Human Drive Vehicle at Connected Freeway. - Pei-Pei Mao; Xinkai Ji; Xu Qu; Ziwei Yi; Bin Ran (ITSC, 2020)

Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment. - Yuan Zheng 005; Bin Ran; Xu Qu; Jian Zhang 011; Yi Lin (IEEE Trans. Intell. Transp. Syst., 2020)

A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory. - Linheng Li; Xinkai Ji; Jing Gan; Xu Qu; Bin Ran (IEEE Access, 2021)

Controlling the Connected Vehicle with Bi-Directional Information: Improved Car-Following Models and Stability Analysis. - Ziwei Yi; Wenqi Lu 003; Xu Qu; Linheng Li; Pei-Pei Mao; Bin Ran (Sensors, 2021)

Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling. - Linheng Li; Jing Gan; Xinkai Ji; Xu Qu; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2022)

A Variable Speed Limit Control Based on Variable Cell Transmission Model in the Connecting Traffic Environment. - Pei-Pei Mao; Xinkai Ji; Xu Qu; Linheng Li; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2022)

Salient Feature Enhanced Multi-object Tracking with Soft-Sparse Attention in Transformer. - Caihua Liu; Xu Qu; Xiaoyi Ma; Runze Li; Xu Li; Sichu Chen (PRCV (12), 2023)

A Network Traffic Model for the Control of Autonomous Vehicles Acting as Moving Bottlenecks. - Zhexian Li; Michael W. Levin; Xu Qu; Raphael E. Stern (IEEE Trans. Intell. Transp. Syst., 2023)

A Traffic Flow Data Restoration Method Based on an Auxiliary Discrimination Mechanism-Oriented GAN Model. - Can Wang; Yan Zhao; Linheng Li; Qiao Yang; Xu Qu; Bin Ran (IEEE Internet Things J., 2024)

A Freeway Traffic Flow Prediction Model Based on a Generalized Dynamic Spatio-Temporal Graph Convolutional Network. - Rui Gan; Bocheng An; Linheng Li; Xu Qu; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2024)

Linear Stability of Heterogeneous Traffic Flow Incorporating V2X Communication and Intraplatoon Spatial Distribution. - Jing Gan; Haozhan Ma; Linheng Li; Xu Qu; Bin Ran (IEEE Internet Things J., 2024)

A Novel Voronoi-Based Spatio-Temporal Graph Convolutional Network for Traffic Crash Prediction Considering Geographical Spatial Distributions. - Jing Gan; Qiao Yang; Dapeng Zhang; Linheng Li; Xu Qu; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2024)

Vehicular Speed Prediction Method for Highway Scenarios Based on Spatiotemporal Graph Convolutional Networks and Potential Field Theory. - Linheng Li; Bocheng An; Dapeng Zhang; Rui Gan; Zhi Zhou; Xu Qu; Bin Ran (IEEE Internet Things J., 2025)

Enhancing Vehicle Platoons in Connected and Automated Environments With an Improved Spectral Clustering-Based Pinning Control Strategy. - Can Wang; Yan Zhao; Linheng Li; Xu Qu; Bin Ran (IEEE Trans. Veh. Technol., 2025)