Automated Vehicle Trajectory Modeling Challenge

The Automated Vehicle Trajectory Modeling Challenge is a benchmark competition established to promote the development and evaluation of behavioral models for automated vehicle trajectories using real-world trajectory data. It is motivated by the need for a well-defined and shared problem setting, where researchers can develop, compare, and continuously improve their models against a common benchmark. Through the use of an open dataset and standardized evaluation framework, the challenge fosters open, transparent, and reproducible research, in line with the IEEE ITSS Emerging Transportation Technology Testing (ET3) Technical Committee’s efforts through the Open-PAV Data Platform. The outcomes of the challenge are expected to contribute to emerging transportation technology and connected and automated vehicle (CAV) testing, while also engaging students, researchers, and practitioners in the broader AV community.

ET3 Organizing Team

The ET3 Organizing Team is responsible for challenge planning and operations, including logistics, data release, evaluation coordination, and publicity. Student Ambassadors support outreach, participant engagement, communication, and technical Q&A throughout the challenge.

Xiaowei (Tom) Shi

Xiaowei (Tom) Shi

University of Wisconsin–Milwaukee

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Ke Ma

Ke Ma

Hong Kong University of Science and Technology (Guangzhou)

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Qianwen (Cami) Li

Qianwen (Cami) Li

University of Georgia

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Tao Liu

Tao Liu

PhD Student, Hong Kong University of Science and Technology (Guangzhou)

Xiao Liang

Xiao Liang

PhD Student, University of Wisconsin–Milwaukee

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Wenjie Zhao

Wenjie Zhao

PhD Student, University of Georgia

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