ICT在车辆路线优化中的科学计量分析:实践与展望

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kashvi Sood , Pooja , Sandeep Kumar Sood
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引用次数: 0

摘要

信息和通信技术(ICT)的最新进展吸引了许多研究人员的关注,以彻底改变运输和物流行业。将信息和通信技术与可持续交通基础设施设计和车辆选线问题(VRP)相结合,为创新解决复杂的物流挑战开辟了新的途径。本科学计量学研究通过对 Scopus 数据库收录的 2015 年至 2024 年间的文献进行全面分析,调查了信息和通信技术辅助的可持续交通基础设施设计和 VRP 研究的发展情况。该研究考察了相关研究类别中作者和文献的出版趋势、跨国家合作网络、地理分布和联合引用模式等关键方面。研究结果表明,人工智能(AI)和机器学习(ML)技术是当前知识领域发展的核心。此外,研究还发现绿色网络设计、自动驾驶汽车、灾难复原力、按需服务、可持续设计、供应链复原力、无线通信、结构分析和智能电网是塑造未来可持续交通基础设施设计和 VRP 的关键主题。该分析还强调了国际合作和跨学科方法所发挥的日益重要的作用,表明研究界正在蓬勃发展,致力于推动将信息和通信技术整合到交通管理系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scientometric analysis of ICT in vehicle route optimization: Practices and perspective
Recent advances in Information and Communication Technology (ICT) have enticed the attention of many researchers to revolutionize the transportation and logistics industries. The integration of ICTs with sustainable transportation infrastructure design and Vehicle Routing Problems (VRPs) has opened new avenues for innovative solutions to complex logistical challenges. This scientometric study investigates the evolution of ICT-assisted sustainable transportation infrastructure design and VRP research, drawing from a comprehensive analysis of literature indexed in the Scopus database between 2015 and 2024. The study examines key aspects such as publication trends, collaboration networks across countries, geographical distribution, and co-citation patterns of authors and documents within the relevant research categories. The findings reveal a strong emphasis on Artificial Intelligence (AI) and Machine Learning (ML) technologies as central to the development of the current knowledge domain. Moreover, the study identifies green network design, autonomous vehicles, disaster resilience, on-demand services, sustainable design, supply chain resilience, wireless communication, structural analysis, and smart grids, as pivotal themes shaping the future of sustainable transportation infrastructure design and VRPs. The analysis also highlights the growing role of international collaboration and interdisciplinary approaches, indicating a thriving research community focused on advancing the integration of ICT in transportation management systems.
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来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
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