戴星原，工学博士，中国科学院自动化研究所副研究员。主持国家自然科学基金青年科学基金项目1项、科技创新2030 -“新一代人工智能”重大项目子课题1项，发表SCI检索论文20余篇。

专业方向：控制理论与控制工程

研究方向：人工智能、智能交通、自动驾驶

主持及参与项目：

[1]  国家自然科学基金委员会, 青年科学基金项目（C类）[原青年科学基金项目], 62303462, 基于人类反馈的智能交通信号控制, 2024-01-01 至 2026-12-31, 30万元, 在研, 主持

[2]  科学技术部, 科技创新2030-“新一代人工智能”重大项目子课题, 2022ZD0162200, 网联交通场景协同感知测试验证与集成应用, 2023-01 至 2025-12, 80万元, 在研, 主持

代表性成果：

[1]  Xingyuan Dai, Rui Fu, Enmin Zhao, Zuo Zhang, Yilun Lin, Fei-Yue Wang, Li Li. DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending. Transportation Research Part C: Emerging Technologies, 2019, 103: 142-157.

[2]  Xingyuan Dai, Chen Zhao, Xiao Wang, Yisheng Lv, Yilun Lin, Fei-Yue Wang. Image-based traffic signal control via world models. Frontiers of Information Technology Electronic Engineering, 2022, 23(12).

[3]  Xingyuan Dai, Mauro Vallati, Rongge Guo, Yutong Wang, Shuangshuang Han, Yilun Lin. The road ahead: DAO-secured V2X infrastructures for safe and smart vehicular management. IEEE Transactions on Intelligent Vehicles, 2023, 8(12): 4674-4677.

[4]  Junjun Hu, Xingyuan Dai*, Xiaojun Li, Chenglong Ye, Yan Zhang, Yue Liu, Jiaming Sun, Hongxia Zhao, Xiaoyan Gong. TrafficWise: Leveraging world models for generalized and interpretable traffic control. IEEE Intelligent Transportation Systems Magazine, 2025, 17(5): 50-60.

[5]  Chen Zhao, Xingyuan Dai*, Yisheng Lv, Jinglong Niu, Yilun Lin. Decentralized autonomous operations and organizations in TransVerse: Federated intelligence for smart mobility. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(4): 2062-2072.