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,建设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,本文着重介绍了其中的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,提高学生解决复杂工程问题能力,有效促进了课程培养目标的达成及教学质量的提升。

     

    Abstract: In order to better address the new problems and challenges posed by intelligent driving, autonomous driving, and vehicle road collaboration technology in traffic human safety research, a distributed collaborative dual-mode simulation experimental platform for traffic safety will be constructed. This platform supports six degrees of freedom simulation driving of real vehicles and collaborative driving of multiple vehicle subsystems, with a mixed reality dual-mode view, which can better support the experimental teaching of traffic human safety direction. A series of experimental projects have been developed based on this platform. This article focuses on the evaluation of driver mental load based on collaborative driving and the impact of weather on driver psychological load represented by steering wheel angle entropy. The content, objectives, and evaluation methods of experimental teaching are advanced, innovative and challenging, improve students' ability to solve complex engineering problems, and effectively promote the achievement of course training objectives and the improvement of teaching quality.

     

/

返回文章
返回