驾驶员行为建模:发展与未来方向

N. Abuali, H. Abou-zeid
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引用次数: 57

摘要

无线通信方案、移动云和雾计算以及上下文感知服务的进步,促使人们对新兴应用程序的驾驶员行为模型的设计、开发和部署越来越感兴趣。尽管驾驶员行为建模(DBM)在各个方面都取得了进步,但只有有限的工作可以找到,回顾了越来越多的文献,这些文献只针对DBM过程的一个子集。因此,需要对DBM的各个方面进行更全面的审查,重点是最近的发展。在本文中,我们概述了车载和智能手机传感能力和通信的进展以及DBM的最新应用和服务,并强调了研究挑战和未来的关键方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driver Behavior Modeling: Developments and Future Directions
The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM), only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.
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