交通安全分布式协同双模仿真实验平台建设与实验教学

Construction and Experimental Teaching of a Distributed Collaborative Dual-Mode Simulation Experimental Platform for Traffic Safety

  • 摘要: 为了更好应对智能驾驶、自动驾驶、车路协同技术对交通人因安全研究提出的新问题与新挑战,该文建设了交通安全分布式协同双模仿真实验平台。该平台支持实车六自由度模拟驾驶以及多台车辆子系统协同驾驶,具有混合现实双模视景,能够更好地支撑交通人因安全方向的实验教学开展。依托该平台开发了系列实验项目,着重介绍了基于协同驾驶的司机脑力负荷评估实验和以转向盘转角熵为表征的天气对驾驶员心理负荷影响实验。实验教学的内容、目标和评价方式体现了“两性一度”原则,提高了学生解决复杂工程问题的能力,有效促进了课程培养目标的达成及教学质量的提升。

     

    Abstract: To better address the new challenges posed by intelligent driving, autonomous driving, and vehicle-infrastructure collaboration technology to human factors research in traffic safety, this paper constructs a distributed collaborative dual-mode simulation experimental platform for traffic safety. This platform supports six-degree-of-freedom simulation driving of real vehicles and collaborative driving of multiple vehicle subsystems, with a mixed reality dual-mode visual system, which can better support the experimental teaching in traffic human factors safety. A series of experimental projects have been developed based on this platform. This paper focuses on the driver mental workload evaluation experiment based on collaborative driving and the weather impact on the driver mental workload characterized by steering wheel angle entropy. The content, objectives, and evaluation methods of experimental teaching reflect the principle of being advanced, innovative and challenging, improving students’ ability to solve complex engineering problems, and effectively promoting the achievement of course training objectives and the improvement of teaching quality.

     

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