Can smartphones serve as an instrument for driver behavior of intelligent transportation systems research? A systematic review: Challenges, motivations, and recommendations

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Salem Garfan , Bilal Bahaa Zaidan , Aws Alaa Zaidan , Sarah Qahtan , Hassan Abdulsattar Ibrahim , Muhammet Deveci , Seifedine Kadry , Sarbast Moslem , Weiping Ding
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引用次数: 0

Abstract

The increasing number of road accidents is a major issue in many countries. Studying drivers’ behaviour is essential to identify the key factors of these accidents. As improving sustainability can be reached by improving driving behaviour, this study aimed to review and thoroughly analyse current driver behaviour literature that focuses on smartphones and attempted to provide an understanding of various contextual fields in published studies through different open challenges encountered and recommendations to enhance this vital area. All articles about driver behaviour with the scope of using smartphone were searched systematically in four main databases, namely, IEEE Xplore, ScienceDirect, Scopus and Web of Science, from 2013 to 2023. The final set of 207 articles matched our inclusion and exclusion criteria. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors’ recommendations and substantial analysis of the previous studies are discussed based on five aspects (sample size, developed software, techniques used, smartphone sensor based and, available datasets). A proposed research methodology as new direction is provided to solve the gaps identified in the analysis. As a case study of the proposed methodology, the area of eco-driving behaviour is selected to address the current gaps in this area and assist in advancing it. This systematic review is expected to open opportunities for researchers and encourage them to work on the identified gaps.
智能手机能否作为智能交通系统研究的驾驶员行为工具?系统综述:挑战、动机和建议
道路交通事故日益增多是许多国家面临的一个重大问题。研究驾驶员的行为对于找出这些事故的关键因素至关重要。通过改善驾驶行为可以提高可持续性,因此本研究旨在回顾和全面分析当前以智能手机为重点的驾驶行为文献,并试图通过所遇到的不同公开挑战和加强这一重要领域的建议,提供对已发表研究中各种背景领域的理解。研究人员在四个主要数据库(IEEE Xplore、ScienceDirect、Scopus 和 Web of Science)中系统地检索了从 2013 年到 2023 年所有关于使用智能手机的驾驶员行为的文章。最终有 207 篇文章符合我们的纳入和排除标准。我们从动机、阻碍技术实用性的公开挑战、作者建议等方面确定了这一新兴领域的基本特征,并根据五个方面(样本量、开发的软件、使用的技术、基于智能手机传感器和可用数据集)讨论了对以往研究的实质性分析。为解决分析中发现的问题,作者提出了一种新的研究方法。作为建议方法的案例研究,选择了生态驾驶行为领域,以解决该领域目前存在的差距,并协助推进该领域的研究。本系统性综述有望为研究人员提供机会,鼓励他们针对发现的差距开展工作。
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来源期刊
Pervasive and Mobile Computing
Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
7.70
自引率
2.30%
发文量
80
审稿时长
68 days
期刊介绍: As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.
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