A Multifaceted Analysis of Intelligent Vehicle Route Optimization

IF 8.4 1区 工程技术 Q1 ENGINEERING, CIVIL IEEE Transactions on Intelligent Transportation Systems Pub Date : 2025-01-24 DOI:10.1109/TITS.2025.3528961
Pooja;Sandeep Kumar Sood
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Abstract

In the constantly changing realm of logistics and transportation management, the incorporation of Information and Communication Technology (ICT) has catalyzed transformative paradigm shifts in the approach and resolution of Vehicle Route Optimization (VRO). The current scientometric research paper embarks on a comprehensive exploration of the scholarly endeavors acquired from the Scopus database in the realm of ICT-assisted vehicle route optimization, spanning 2014–2023. The scientometric implications of the article encompass several pivotal dimensions, including publication patterns, (author, country, institution) co-authorship, geographical distribution, Document Co-citation network Analysis (DCA) and top articles based on betweenness centrality corresponding to each opted category of the current knowledge domain. A meticulous examination of the analyses revealed a significant research impact in the pervasive computing and communication technology categories. The co-authorship analysis presenting the interconnectedness of collaborative efforts across countries, authors, and institutions highlights the authors and universities of China and the United States as dominant players in the domain. The DCA elucidates research themes, including intelligent transportation systems, unmanned aerial vehicle-based wireless sensor networks, electric vehicle-based sustainable VRO, and vehicular ad-hoc networks. These themes underscore the current research trajectories within the field. Notably, quantum computing and blockchain emerged as prominent technologies. Overall, the study unveils the transformative impact of ICT on VRO, highlighting the key themes, future research directions and a collaborative research community poised for substantial innovation in this area of research.
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智能车辆路径优化的多方位分析
在不断变化的物流和运输管理领域,信息和通信技术(ICT)的结合催化了车辆路线优化(VRO)方法和解决方案的变革范式转变。当前的科学计量学研究论文开始全面探索从Scopus数据库中获得的信息通信技术辅助车辆路线优化领域的学术成果,时间跨度为2014-2023年。文章的科学计量学意义包括几个关键维度,包括出版模式、(作者、国家、机构)合著、地理分布、文献共引网络分析(DCA)和基于与当前知识领域的每个选择类别相对应的中间性中心性的顶级文章。对这些分析的细致检查揭示了普适计算和通信技术类别的重大研究影响。共同作者分析展示了跨国家、作者和机构合作努力的相互联系,突出了中国和美国的作者和大学在该领域的主导地位。DCA阐明了研究主题,包括智能交通系统、基于无人机的无线传感器网络、基于电动汽车的可持续VRO和车载自组织网络。这些主题强调了该领域当前的研究轨迹。值得注意的是,量子计算和区块链成为突出的技术。总体而言,该研究揭示了ICT对VRO的变革性影响,突出了关键主题、未来研究方向以及为该研究领域的重大创新做好准备的合作研究社区。
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来源期刊
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems 工程技术-工程:电子与电气
CiteScore
14.80
自引率
12.90%
发文量
1872
审稿时长
7.5 months
期刊介绍: The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical activities among IEEE entities, and providing a focus for cooperative activities, both internally and externally.
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