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From Individual to Connected Driving: An Interactive Driver Vehicle Environment for Road User Safety.

机译:从个人驾驶到互联驾驶:用于道路使用者安全的交互式驾驶员车辆环境。

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摘要

Driving is by nature interactive. As traffic density increases, drivers will experience more interaction situations, with a greater need to react and adapt to other road users. Road transportation is facing a changing era due to new technology. Connected Vehicles and Automatic Vehicles are the new trend and the most probable choice in future transportation. Though these technologies will change the transportation mode, the human being will not be removed from the heart of the transportation system. However, the role of humans and the way they interact with vehicles and other road users will be redefined. Therefore, from both a human-centered and technology-driven perspective, there is a growing demand for understanding driving behavior and analyzing road user interactions, and for a new methodology to help detect the major effects of these technologies for road user safety.;This dissertation proposes a new framework for conducting controlled driving behavior studies based on a networked multi-driver simulation platform. This new simulation system can conduct specific single-driver behavior experiments, and can also engage multiple drivers in a common virtual environment, reproducing real-life interaction scenarios. To demonstrate the effectiveness of this framework, various traffic scenarios were created in the driving simulation platform to conduct studies on elderly and teenage drivers, as well as bicyclists. Results show how different road users react in a particular manner to traffic scenarios and road hazards. A survey asking for opinions on connected vehicle technology and how it can improve specific driving situations was conducted. Public feedback directed attention towards driver distraction and front collision hazards. A four-driver platoon was used to explore how distracted driving affects other drivers, as well as how the designed forward collision warning system influences driver behavior on individual and group levels. The presented work showcases the effectiveness of a robust driving simulation system and how it can serve as a valuable tool for simultaneously investigating multiple drivers, as well as their interactions and mutual influences, especially under safety critical situations. The work presented can pave the way for developing a fully connected Driver-Vehicle-Environments and exploring the human factors related roles in Connected Vehicle technologies.
机译:驾驶本质上是互动的。随着交通密度的增加,驾驶员将经历更多的交互情况,从而更加需要做出反应并适应其他道路使用者。由于新技术的出现,公路运输面临着一个不断变化的时代。互联车辆和自动车辆是未来运输的新趋势和最可能的选择。尽管这些技术将改变运输方式,但人类不会从运输系统的心脏中移开。但是,人类的角色及其与车辆和其他道路使用者的互动方式将被重新定义。因此,从以人为中心和技术驱动的角度来看,对理解驾驶行为和分析道路用户交互作用以及寻求一种新的方法来帮助检测这些技术对道路用户安全的主要影响的需求日益增长。论文提出了一种基于网络化的多驾驶员仿真平台进行驾驶行为研究的新框架。这种新的仿真系统可以进行特定的单驾驶员行为实验,还可以在一个通用的虚拟环境中使用多个驾驶员,从而再现真实的交互场景。为了证明该框架的有效性,在驾驶模拟平台中创建了各种交通场景,以研究老年人和青少年驾驶员以及骑自行车的人。结果显示了不同的道路使用者如何以特殊的方式对交通场景和道路危险做出反应。进行了一项调查,征求有关互联汽车技术及其如何改善特定驾驶状况的意见。公众反馈将注意力转移到驾驶员分心和前方碰撞危险上。使用四个驾驶员排来探讨分心驾驶如何影响其他驾驶员,以及设计的前方碰撞预警系统如何影响个人和团体级别的驾驶员行为。所展示的作品展示了强大的驾驶模拟系统的有效性,以及如何将其用作同时研究多个驾驶员及其相互作用和相互影响的有价值的工具,尤其是在安全关键情况下。提出的工作可以为开发完全互联的驾驶员-车辆-环境以及探索人为因素在互联汽车技术中的作用铺平道路。

著录项

  • 作者

    Xu, Jing.;

  • 作者单位

    Northeastern University.;

  • 授予单位 Northeastern University.;
  • 学科 Industrial engineering.;Transportation.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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