Crash risk analysis for the mixed traffic flow with human-driven and connected and autonomous vehicles. - Qing-Long Lu; Kui Yang; Constantinos Antoniou 001 (ITSC, 2021)

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting. - Xinhua Wu; Cheng Lyu; Qing-Long Lu; Vishal Mahajan (CoRR, 2022)

Robust Two-Stage Transport Data Imputation with Changepoint Detection and Tucker Decomposition. - Cheng Lyu; Qing-Long Lu; Xinhua Wu; Constantinos Antoniou 001 (ITSC, 2023)

Traffic resilience quantification based on macroscopic fundamental diagrams and analysis using topological attributes. - Qing-Long Lu; Wenzhe Sun; Jiannan Dai; Jan-Dirk Schmöcker; Constantinos Antoniou 001 (Reliab. Eng. Syst. Saf., 2024)

Visual comparative analytics of multimodal transportation. - Zikun Deng; Haoming Chen; Qing-Long Lu; Zicheng Su; Tobias Schreck; Jie Bao 003; Yi Cai 001 (Vis. Informatics, 2025)

Efficient Cloud-Sourced Transport Mode Detection Using Trajectory Data: A Semi-Supervised Asynchronous Federated Learning Approach. - Ningkang Yang; Qing-Long Lu; Iuliia Yamnenko; Constantinos Antoniou 001 (IEEE Internet Things J., 2025)

TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning. - Zikun Deng; Yuanbang Liu; Mingrui Zhu; Da Xiang; Haiyue Yu; Zicheng Su; Qing-Long Lu; Tobias Schreck; Yi Cai 001 (CoRR, 2025)