一、基本情况
易滨林，男，湖南娄底人，中共党员，1991年出生，工学博士，校聘副教授，硕士生导师。主要从事智能汽车人机交互、车辆交通与安全、车辆动力学及控制等方面的科研与教学工作，主持或参与国家级、省部级自然科学基金项目、企业横向项目等课题，在交通心理与行为、人因工程与车辆动力学领域权威期刊《Transportation Research Part F:Traffic Psychology and Behavior》，《Human Factors》以及《Vehicle System Dynamics》发表论文10余篇。主讲本科生课程《智能驾驶系统设计》、《数值计算方法》。
联系电话；18964884059；电子邮件：yibinlin@hnust.edu.cn
教育及工作经历：
2023.06-至今 湖南科技大学，校聘副教授
2019.09-2023.6 湖南大学 ，机械工程 ，博士，导师：宋晓琳教授
2017.07-2019.07 上海汽车商用车技术中心，研发工程师
2014.09-2017.06 湖南大学， 机械工程 ，硕士，导师：刘江南教授
2010.09-2014.06 中南林业科技大学，机械设计制造及其自动化，学士
二、研究方向
智能汽车人机交互、车辆交通与安全、车辆动力学及控制
三，主持/参与的主要科研项目
1． 上汽集团创新研究总院，横向课题，驾驶人对L2级自动驾驶汽车信任度机理模型研究，2024-08至2025-08，主持；
2． 华为技术有限公司，横向课题，智能驾驶技术研究，2019-08至2020-08，主研；
3． 长沙智能驾驶研究院，横向课题，混合动力半挂车运行稳定性技术研究，2019-08至2020-08，主研；
4． 国家自然科学基金委员会，面上项目，驾驶员对智能驾驶系统的信任度模型与人机协同交互机理研究，2020-01 至2023-12，主研；
5． 汽车安全与节能国家重点实验室（清华大学）开放基金，驾驶员对自动驾驶系统的角色适应性机理研究与模型构建，2021-01 至 2023-12，主研。
四、学术论文
第一作者
1. Yi B, Cao H, Song X, et al. Will we as passengers use highly automated vehicles? Examining the importance of role adaptation on people’s acceptance of the automation[J]. International Journal of Human–Computer Interaction, 2025, 41(6): 3671-3683. (JCR, Q1)
2. Yi B, Cao H, Song X, et al. How can the trust-change direction be measured and identified during takeover transitions in conditionally automated driving? Using physiological responses and takeover-related factors[J]. Human factors, 2024, 66(4): 1276-1301. (JCR, Q1)
3. Yi B, Cao H, Song X, et al. How human-automation interaction experiences, trust propensity and dynamic trust affect drivers’ physiological responses in conditionally automated driving: Moderated moderated-mediation analyses[J]. Transportation research part F: traffic psychology and behaviour, 2023, 94: 133-150. (JCR, Q1)
4. Yi B, Cao H, Song X, et al. How to identify the take-over criticality in conditionally automated driving? An examination using drivers’ physiological parameters and situational factors[J]. Transportation research part F: traffic psychology and behaviour, 2022, 85: 161-178. (JCR, Q1)
5. Yi B, Cao H, Song X, et al. Measurement and real-time recognition of driver trust in conditionally automated vehicles: Using multimodal feature fusions network[J]. Transportation research record, 2023, 2677(8): 311-330. (JCR, Q3)
合著论文
1.Wenfeng Guo, Song Zhao, Haotian Cao, Binlin Yi, Xiaolin Song, Koopman operator-based driver-vehicle dynamic model for shared control systems. Applied Mathematical Modelling. 2023. 114:423-446.
2.Guo Wenfeng, Haotian Cao , Song Zhao, Jianqiang Wang, Binlin Yi, and Xiaolin Song. Optimal design of a driver assistance controller based on surrounding vehicle’s social behavior game model. Applied Mathematical Modelling. 2023. 114: 646-670.
3.Yufeng Lu, Binlin Yi, and Xiaolin Song, Song Zhao, Jianqiang wang,and Haotian Cao. Can we adapt to highly automated vehicles as passengers? The mediating effect of trust and situational awareness on role adaption moderated by automated driving style. Transportation research part F: traffic psychology and behaviour. 2022, 90: 269-286.
4.Wenfeng Guo, Haotian Cao, Song Zhao, Mingjun Li, Binlin Yi, Xiaolin Song. A data-driven model-based shared control strategy considering drivers’ adaptive behavior in driver-automation interaction. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. July 2022.
5.Xiaolin Song, Yangang Yin, Haotian Cao, Song Zhao, Mingjun Li, and Binlin Yi. The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver’s driving risk. Accident Analysis & Prevention. 2021.153：106038.
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