基于CiteSpace的我国车辆路径问题研究进展及热点前沿分析

Progress,Hotspots and Frontier of Vehicle Routing Researches in China Based on CiteSpace

旨在利用CiteSpace工具对我国车辆路径研究的进展和热点前沿进行分析,通过中国知网(CNKI)检索“车辆路径问题研究”,最终获得有效数据712篇。首先分析了年发文量、作者及研究机构分布,对高校被引学者和研究机构进行排名。接着统计关键词词频,对关键词进行聚类分析,总结了该领域的研究热点。最后通过构建时区图、突现图,描述了该领域研究主题的演化趋势。通过分析得出以下结论:车辆路径问题研究的发文量呈现波动上升趋势,研究者更倾向于独立研究,研究机构间合作不密切。未来我国需要建设车辆路径问题研究的核心团队,继续提高发文质量和数量;我国车辆路径研究的热点主要集中在传统路径规划算法、智能化路径规划以及多目标路径规划等方面;在我国车辆路径研究中,与实际道路情况和交通拥堵相关的问题备受关注,研究者通过运用交通流模型、交通预测技术等方法,探索如何考虑实际道路情况和交通拥堵对物流配送的影响,提高车辆配送的效率和可靠性。随着新兴技术的快速发展,学者们越来越关注将大数据、区块链、物联网、智慧物流等新兴前沿技术应用于车辆路径问题的研究领域,以提高研究的深度和广度。

With the development of the transportation field,including the development of traffic infra⁃structure and traffic management technology,vehicle routing has become an important research field and has earned more and more attention.The study of vehicle routing can shed more light on the law of vehicle driv⁃ing,and provide scientific basis for traffic management,traffic planning and traffic decision-making.CiteSpace is a tool used to analyze academic literature for helping researchers understand research hotspots,frontiers and directions in a certain field.In this paper,CiteSpace was used to analyze the research progress,hotspots and frontiers of vehicle routing in China,so as to provide reference and guidance for related research.Through searching“research on vehicle routing problem”on CNKI,712 valid articles were obtained and made the research object.Firstly,we analyzed the annual number of published papers,the distribution of au⁃thors and research institutions,and ranked highly cited authors and research institutions.Then,we collected keyword frequency,carried out cluster analysis of keywords,and summarized the research hotspots in this field.Finally,we described the evolution trend of the research topics by constructing the time zone chart and the emergence chart.With the analysis,we come to the following conclusions:(1)The number of published pa⁃pers on vehicle routing shows a trend of fluctuating increase followed by gradual decrease.Researchers tend to conduct research independently and do not cooperate closely.(2)The hotspots of vehicle routing research in China mainly include traditional path planning algorithm,intelligent path planning and multi-objective path planning.(3)Problems relating to actual road conditions and traffic congestion are of great concern.By using methods such as traffic flow model and traffic prediction technology,researchers have explored how to consid⁃er the impact of actual road conditions and traffic congestion on logistics distribution,so as to improve the effi⁃ciency and reliability of vehicle distribution.(4)With the rapid development of emerging technologies,re⁃searchers are paying more and more attention to applying emerging frontier technologies such as big data,blockchain,Internet of Things,and smart logistics to the research field of vehicle routing in order to improve the depth and breadth of research.To sum up,in this paper we provided a theoretical basis for solving the vehicle routing problem and for⁃mulating relevant policies for the government,which has certain referential significance for the vehicle rout⁃ing research field.