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Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios.

, , , , and . ITSC, page 2791-2797. IEEE, (2022)

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A simple forward-backward procedure for real-time signal timing adjustment on oversaturated arterial networks., , and . ITSC, page 1126-1131. IEEE, (2011)Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies., , , , , , and . CoRR, (2019)Adaptive Testing Scenario Library Generation for Connected and Automated Vehicles., , , , and . CoRR, (2020)A probabilistic model for missing traffic volume reconstruction based on data fusion., , and . CoRR, (2021)Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols., , , , , and . USENIX Security Symposium, page 3219-3236. USENIX Association, (2021)Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control., , , , and . NDSS, The Internet Society, (2018)Adaptive green split optimization for traffic control with low penetration rate trajectory data., , , and . J. Intell. Transp. Syst., 28 (6): 830-845 (November 2024)An improved linearization technique for a class of quadratic 0-1 programming problems., , , and . Optim. Lett., 6 (1): 31-41 (2012)Vision-based object detection and recognition system for intelligent vehicles., , and . Mobile Robots / Intelligent Transportation Systems, volume 3525 of SPIE Proceedings, page 326-337. SPIE, (1998)MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles., , , , , and . CoRR, (2023)