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Detecting Data Spoofing in Connected Vehicle based Intelligent Traffic Signal Control using Infrastructure-Side Sensors and Traffic Invariants.

, , , , , and . IV, page 1-8. IEEE, (2023)

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Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control., , , , , and . CoRR, (2020)Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and Automated Vehicles., , , , , and . IEEE Trans. Intell. Veh., 3 (3): 340-350 (2018)Vehicle-group-based Crash Risk Formation and Propagation Analysis for Expressways., , , , and . CoRR, (2024)An Augmented Reality Environment for Connected and Automated Vehicle Testing and Evaluation., , , , and . Intelligent Vehicles Symposium, page 1549-1554. IEEE, (2018)Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology., , , , and . CoRR, (2019)An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems., , , , and . CoRR, (2023)Engine and Aftertreatment Co-Optimization of Connected HEVs via Multi-Range Vehicle Speed Planning and Prediction., , , , , , , , , and . CoRR, (2020)On the Cybersecurity of Traffic Signal Control System With Connected Vehicles., , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (9): 16267-16279 (2022)Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies., , , , , and . IEEE Trans. Intell. Transp. Syst., 22 (9): 5635-5647 (2021)Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology., , , , and . IEEE Trans. Intell. Transp. Syst., 22 (3): 1573-1582 (2021)