Smart driving in smart city

Mucahit Karaduman, H. Eren
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引用次数: 12

Abstract

Smart cities have been drawing attention of researchers as seen in recent intensive studies. In associated with this fact, this situation is expected to continue in future works. In other side, smart vehicles are an indispensable part of smart cities. Scientists have been researching vehicles and transportation in order to reach safe and comfortable mobility. Among these vehicles, cars are the first ones that affect human life. In this study, smart cars and their drivers are elaborated in behavioral aspect. Existing works have been discussed to figure out futuristic driving behavior in smart city environment. In order to understand human thought system, additional studies have been given and recommendations have been provided. As seen in the researches conducted in recent years, researchers have been tried to interpret behavior of drivers by examining data taken by smart phones and vehicle OBD output. Evaluations are conducted by result of the specified methods. In recent decade, it has been observed that these behaviors are not only estimations; but also systems mounted on vehicles learn overall driving behavior. Hence, developed systems should work online while drivers on steering wheel. Consequently, this study will enlighten existing trends for different types of learning schemes. Future studies are expected to combine car, driver's biologic, psychological, and environmental data. Thus, in the near future, systems that understand the human thought will be developed.
智慧城市中的智能驾驶
最近对智慧城市的密集研究引起了研究人员的关注。考虑到这一事实,这种情况预计将在今后的工作中继续下去。另一方面,智能汽车是智慧城市不可或缺的一部分。科学家们一直在研究车辆和交通工具,以实现安全舒适的移动。在这些交通工具中,汽车是最先影响人类生活的交通工具。本研究从行为方面对智能汽车及其驾驶员进行了阐述。讨论了现有的工作,以找出智慧城市环境下的未来驾驶行为。为了了解人类的思维系统,已经进行了进一步的研究并提出了建议。从近年来的研究中可以看出,研究人员试图通过检查智能手机和车辆OBD输出的数据来解释驾驶员的行为。根据指定方法的结果进行评估。近十年来,人们观察到这些行为不仅仅是估计;但安装在车辆上的系统也可以学习整体驾驶行为。因此,开发的系统应该在驾驶员驾驶时在线工作。因此,本研究将启发不同类型学习方案的现有趋势。未来的研究有望结合汽车、驾驶员的生理、心理和环境数据。因此,在不久的将来,能够理解人类思想的系统将被开发出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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