首页> 外文期刊>International Journal of Human-Computer Interaction >Warning Apps for Road Safety: A Technological and Economical Perspective for Autonomous Driving - The Warning Task in the Transition from Human Driver to Automated Driving
【24h】

Warning Apps for Road Safety: A Technological and Economical Perspective for Autonomous Driving - The Warning Task in the Transition from Human Driver to Automated Driving

机译:道路安全的警告应用程序:自主驾驶技术和经济的视角 - 从人司机到自动驾驶的过渡时期的警告任务

获取原文
获取原文并翻译 | 示例
           

摘要

In the last decade, mobile warning apps and security services for drivers were developed, driven by the evolving market for smartphone-based applications. Now, in times of emerging autonomous vehicles, the value of warning detection in form of warning apps for road transport needs to be reappraised. In our study, we address the following questions: Does this kind of application have a technological and economical perspective for future mobility? How will the interaction between drivers, information systems (smartphone or onboard computer), and driving systems change? In this article, we bring together the aspects to consider in terms of technology development and business modeling amidst a changing human-computer interaction (HCI) toward autonomous driving. We provide a comprehensive picture of how technology-driven applications, such as warning detection apps, could develop their economic and technological impact within the transition of individual transport. By classifying the warning apps available in German-speaking regions it became apparent that apps exist for diverse areas of risk. Some of them are currently under development, others are already in use, but still with minor operational deficits. We found out that till today, the majority of warning services provides either an interim solution with a standalone mobile app, or a first test stage approach for prospective mobility solutions, only working on the basis of a car-to-car or car-to-pedestrian communication. Nevertheless, the effectiveness of warning apps was exemplarily proven by a survey about the Wildwarner, an app for wildlife-vehicle collision warnings. Looking ahead, warning-service-usage scenarios (1) without driving assistance, (2) with driving assistance and (3) fully autonomous driving are gone through, showing the still important but altered interactions between humans, warning information systems, and automated driving systems. From an economical perspective, already existing business models for warning services are identified and evaluated according to whether they could be transferred to business models for future mobility under changing ways of user interaction. The analysis of existing established warning apps indicates that more integrated approaches combining different warning types and delivering them as services either for autonomous vehicle navigation or human drivers ought to be supported for increasing road safety.
机译:在过去的十年中,由基于智能手机的应用的不断变化的市场驱动,开发了用于驱动程序的移动警告应用和安全服务。现在,在新兴的自治车辆中,预警检测的价值需要重新评估。在我们的研究中,我们解决了以下问题:这种应用程序是否具有未来的流动性的技术和经济的角度?驾驶员,信息系统(智能手机或车载计算机)之间的互动如何如何变化?在本文中,我们将在通过改变人力计算机互动(HCI)对自动驾驶时的技术开发和业务建模方面举起考虑的方面。我们提供了全面的技术驱动应用程序,例如警告探测应用程序,可以在个人运输的转型内发展他们的经济和技术影响。通过对德语区域进行分类的警告应用,显而易见的是,应用程序存在不同的风险。其中一些目前正在开发,其他人已经在使用中,但仍然具有轻微的运作赤字。我们发现,直到今天,大多数警告服务都提供了一个独立的移动应用程序的临时解决方案,或用于预期移动解决方案的第一个测试阶段方法,仅基于汽车到汽车或汽车的基础上工作 - 史密斯的沟通。尽管如此,警告应用程序的有效性被野生生物碰撞警告的一个应用程序的调查示例性地证明了。展望未来,警告 - 服务使用情况(1)没有驾驶援助,(2)随着驾驶援助和(3)完全自主驾驶经历,显示了人类,警告信息系统和自动驾驶之间的仍然重要但改变的相互作用系统。从经济的角度来看,已经确定了用于警告服务的现有业务模型,并根据是否可以将其转移到未来移动性的商业模式以进行用户交互的方式转移到未来的移动性。现有建立的警告应用的分析表明,与自主车辆导航或人类驱动因素一起支持的自主车辆导航或人类司机,将支持更多的综合方法。

著录项

  • 来源
  • 作者单位

    Deggendorf Inst Technol Inst Appl Informat Technol Campus Freyung Freyung Germany;

    Deggendorf Inst Technol Inst Appl Informat Technol Campus Freyung Freyung Germany;

    Deggendorf Inst Technol Inst Appl Informat Technol Campus Freyung Freyung Germany|Salzburg Univ Dept Geoinformat Z GIS Salzburg Austria;

    Deggendorf Inst Technol Inst Appl Informat Technol Campus Freyung Freyung Germany;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号