Blueprint for a Simulation Framework to Increase Driver Training Safety in North America: Case Study

Safety

Anand Abraham¹  Brenden Switzer²  KemperE. Lewis³  Meghan Bauer⁴  GregoryA. Fabiano⁵  Nichaela Bald⁶  Jacob Deutsch⁷  Nailah Hatten⁸  Ian Duncan⁹  Jodie-Ann Dequesnay^1,10  RachelSu Ann Lim^1,11  KevinF. Hulme^1,11  Helena Destro^1,12  Rebecca Cashmore^1,13 

[1] Adient, Plymouth, MI 48170, USA;Buffalo Public Schools, Buffalo, NY 14202, USA;Department of Mechanical and Aerospace Engineering, School of Engineering and Applied Sciences, University at Buffalo, Buffalo, NY 14260, USA;Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo, NY 14260, USA;Department of Psychology, College of Arts, Sciences & Education, Florida International University, Miami, FL 33199, USA;Edwards Vacuum, Sanborn, NY 14132, USA;GE Aviation, Cincinnati, OH 45215, USA;Gilbane Building Company, Baltimore, MD 21230, USA;Honda R&D America’s Inc., Raymond, OH 43067, USA;The Boeing Company, Los Angeles, CA 90245, USA;The Stephen Still Institute for Sustainable Transportation and Logistics, University at Buffalo, Buffalo, NY 14260, USA;Warsaw Central School District, Warsaw, NY 14569, USA;Williamsville Central School District, Williamsville, NY 14051, USA;

关键词: driving simulation;    physics-based modeling;    human factors;    driver training;    driver education;    safety;   

DOI  :  10.3390/safety7020024

来源: DOAJ

【 摘 要 】

Despite numerous recent advances in the classroom and in-vehicle driver training and education over the last quarter-century, traffic accidents remain a leading cause of mortality for young adults—particularly, those between the ages of 16 and 19. Obviously, despite recent advances in conventional driver training (e.g., classroom, in-vehicle, Graduated Driver Licensing programs), this remains a critical public safety and public health concern. As advanced vehicle technologies continue to evolve, so too does the unintended potential for mechanical, visual, and/or cognitive driver distraction and adverse safety events on national highways. For these reasons, a physics-based modeling and high-fidelity simulation have great potential to serve as a critical supplementary component of a near-future teen-driver training framework. Here, a case study is presented that examines the specification, development, and deployment of a “blueprint” for a simulation framework intended to increase driver training safety in North America. A multi-measure assessment of simulated driver performance was developed and instituted, including quantitative (e.g., simulator-measured), qualitative (e.g., evaluator-observed), and self-report metrics. Preliminary findings are presented, along with a summary of novel contributions through the deployment of the training framework, as well as planned improvements and suggestions for future directions.

【 授权许可】

Unknown