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Review on car-following sensor based and data-generation mapping for safety and traffic management and road map toward ITS

机译：基于CAR-DIST传感器和数据生成映射的综述，安全和交通管理和路线图朝向其

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摘要

As the number of technologies implemented in our daily life and rapidly deployed in the transportation system continuously increases, the car-following model is crucial in the transition towards developing an intelligent transportation system. The car-following model adopts different types of sensors to collect driver behaviour for developing road safety and efficient traffic management. This systematic literature review aims to examine previous research to highlight several insights into a number of issues, problems and challenges encountered in research over the last 11 years. Three major databases (i.e. IEEE Xplore (R), ScienceDirect and Web of Science) are scanned and surveyed to locate highly cited peer-reviewed studies. Amongst the 714 articles found, only 126 are analysed to map the car-following model research area. Two phases of articles filtration process are implemented on collected articles. The first phase is performed using inclusion criteria like development articles written in English language and development/review articles discussed the integration of car-following model applications in the process of driver behaviour characterisation. Then, the resulted articles from the first phase are included in the second phase for further filtration. The second phase of filtration is achieved using more specific inclusion criteria, i.e. the articles that discuss data acquisition system (DAS) and the integration of car-following model in driver behaviour characterisation. The final set of articles is categorised in three main categories: review articles (5/126), learning-based development articles (16/126) and non-learning-based development articles (105/126). The taxonomy of grouping development studies is created in accordance with the type of dataset used for development. A number of motivational topics have been reported to pursue research development in this area. Recommendations for different stakeholders regarding several valuable points are provided to facilitate and accelerate development in the car-following context. Substantial analysis is performed to identify research gaps in the experimental methodologies applied in the literature. This analysis is conducted on the basis of the methodological aspects of data collection to identify the weaknesses of the current literature. A research map is drawn to provide several insights into potential key points towards the advancement of this research area. (C) 2020 Elsevier Inc. All rights reserved.
机译：随着在我们日常生活中实施的技术数量，在运输系统中迅速部署不断增加，汽车跟踪模型对于开发智能运输系统的过渡至关重要。汽车之后的模型采用不同类型的传感器来收集发展道路安全和高效交通管理的驾驶员行为。该系统文献综述旨在审查以前的研究，以强调过去11年来研究中遇到的一些问题，问题和挑战的几个见解。扫描和调查三个主要数据库（即IEEE Xplore（R），SciEnceItect和Science网站）以定位高度引用的同行评审研究。在找到的714篇文章中，分析了126个以映射汽车之后的模型研究区域。在收集的物品上实施了两种物品过滤过程。第一阶段使用包含用英语和开发/审查文章编写的开发文章进行的纳入标准进行，讨论了在驾驶员行为表征过程中的汽车之后模型应用程序的集成。然后，来自第一阶段的所得制品包括在第二阶段中以进一步过滤。使用更具体的纳入标准实现第二阶段的过滤阶段，即讨论数据采集系统（DAS）的物品以及驾驶员行为表征中的汽车之后模型的集成。最后一套文章分为三个主要类别：审查文章（5/126），基于学习的发展文章（16/126）和非学习的发展文章（105/126）。分组开发研究的分类是根据用于开发的数据集的类型创建。据报道，许多励志主题在这一领域追求研究发展。提供有关几个有价值点的不同利益攸关方的建议，以促进和加速汽车跟踪背景下的发展。进行大量分析以确定在文献中应用的实验方法中的研究差距。该分析是根据数据收集的方法论方面进行的，以确定当前文献的弱点。绘制了一张研究地图，为潜在的关键点提供了几个洞察力推进该研究区域的洞察力。 （c）2020 Elsevier Inc.保留所有权利。

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  • 来源
    《Vehicular Communications》 |2020年第10期|100280.1-100280.30|共30页
  • 作者

    Talal Mohammed; Ramli Khairun Nidzam; Zaidan A. A.; Zaidan B. B.; Jumaa Fawaz;

  • 作者单位

    Univ Tun Hussein Onn Malaysia UTHM Fac Elect & Elect Engn Dept Commun Engn Parit Raja Malaysia;

    Univ Tun Hussein Onn Malaysia UTHM Fac Elect & Elect Engn Dept Commun Engn Parit Raja Malaysia;

    Uni Pendidikan Sultan Idris Dept Comp Tanjong Malim Perak Malaysia;

    Uni Pendidikan Sultan Idris Dept Comp Tanjong Malim Perak Malaysia;

    Intel Corp Dept Adv Applicat & Embedded Syst Plot 6 Bayan Lepas Technoplex Bayan Lepas 11900 Pulau Pinang Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Car-following; Sensor; Safety; Traffic management; ITS;

    机译：汽车跟随;传感器;安全;交通管理;它的;

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