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Iet Intelligent Transport Systems

Iet Intelligent Transport SystemsSCIE

国际简称:IET INTELL TRANSP SY  参考译名:智能交通系统

  • 中科院分区

    4区

  • CiteScore分区

    Q1

  • JCR分区

    Q2

基本信息:
ISSN:1751-956X
E-ISSN:1751-9578
是否OA:开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:ENGLAND
出版商:Wiley
出版语言:English
出版周期:Monthly
出版年份:2007
研究方向:工程技术-运输科技
评价信息:
影响因子:2.3
H-index:34
CiteScore指数:6.5
SJR指数:0.78
SNIP指数:1.161
发文数据:
Gold OA文章占比:80.66%
研究类文章占比:98.63%
年发文量:146
自引率:0.0740...
开源占比:0.4416
出版撤稿占比:0
出版国人文章占比:0.44
OA被引用占比:0.03
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Iet Intelligent Transport Systems期刊介绍

IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:

Sustainable traffic solutions

Deployments with enabling technologies

Pervasive monitoring

Applications; demonstrations and evaluation

Economic and behavioural analyses of ITS services and scenario

Data Integration and analytics

Information collection and processing; image processing applications in ITS

ITS aspects of electric vehicles

Autonomous vehicles; connected vehicle systems;

In-vehicle ITS, safety and vulnerable road user aspects

Mobility as a service systems

Traffic management and control

Public transport systems technologies

Fleet and public transport logistics

Emergency and incident management

Demand management and electronic payment systems

Traffic related air pollution management

Policy and institutional issues

Interoperability, standards and architectures

Funding scenarios

Enforcement

Human machine interaction

Education, training and outreach

Current Special Issue Call for papers:

Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf

Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf

Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf

期刊简介Iet Intelligent Transport Systems期刊介绍

《Iet Intelligent Transport Systems》自2007出版以来,是一本工程技术优秀杂志。致力于发表原创科学研究结果,并为工程技术各个领域的原创研究提供一个展示平台,以促进工程技术领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道工程技术领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Iet Intelligent Transport Systems Cite Score数据

  • CiteScore:6.5
  • SJR:0.78
  • SNIP:1.161
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Law Q1 32 / 1025

96%

大类:Social Sciences 小类:Mechanical Engineering Q1 132 / 672

80%

大类:Social Sciences 小类:General Environmental Science Q1 57 / 233

75%

大类:Social Sciences 小类:Transportation Q2 43 / 141

69%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Iet Intelligent Transport Systems 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
工程技术 4区 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技 4区 4区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Iet Intelligent Transport Systems JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 175 / 352

50.4%

学科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 36 / 72

50.7%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q3 179 / 354

49.58%

学科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 34 / 72

53.47%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND365
  • USA100
  • England41
  • Australia30
  • Canada29
  • India28
  • Italy27
  • Japan20
  • Sweden17
  • France16

本刊中国学者近年发表论文

  • 1、A vector field approach for identifying anomalous human mobility

    Author: Yang, Hu; Li, Minglun; Guo, Bao; Zhang, Fan; Wang, Pu

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 4, pp. 649-666. DOI: 10.1049/itr2.12220

  • 2、Distributed model predictive control methods for intermodal transport cooperative planning based on ADMM

    Author: Zhou, Qicai; Huang, Yuankai; Xiong, Xiaolei; Zhao, Jiong

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 102-118. DOI: 10.1049/itr2.12241

  • 3、Addressing robust travel mode identification with individual trip-chain trajectory noise reduction

    Author: Zeng, Jiaqi; Zhang, Guozheng; Hu, Youwei; Wang, Dianhai

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 129-143. DOI: 10.1049/itr2.12243

  • 4、Customized bus scheme design of large transport terminals with jointly optimization of departure time, vehicle allocation and routing

    Author: Wu, Yuelin; Yuan, Zhenzhou; Xiao, Qingyu; Yang, Dong

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 85-101. DOI: 10.1049/itr2.12240

  • 5、Dynamic data-driven computation method for the number of waiting passengers and waiting time in the urban rail transit network

    Author: Chen, Yanyan; Li, Tongfei; Sun, Yan; Wu, Jianjun; Guo, Xin; Liu, Di

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 165-179. DOI: 10.1049/itr2.12245

  • 6、Formation control for connected and automated vehicles on multi-lane roads: Relative motion planning and conflict resolution

    Author: Cai, Mengchi; Xu, Qing; Chen, Chaoyi; Wang, Jiawei; Li, Keqiang; Wang, Jianqiang; Zhu, Qianying

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 211-226. DOI: 10.1049/itr2.12249

  • 7、Impacts of advanced driver assistance systems on commercial truck driver behaviour performance using naturalistic data

    Author: Wu, Chuna; Cao, Jing; Du, Yuchuan

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 119-128. DOI: 10.1049/itr2.12242

  • 8、Short-term traffic flow prediction approach incorporating vehicle functions from RFID-ELP data for urban road sections

    Author: Huang, Shuai; Sun, Dihua; Zhao, Min; Chen, Jin; Chen, Rui

    Journal: IET INTELLIGENT TRANSPORT SYSTEMS. 2023; Vol. 17, Issue 1, pp. 144-164. DOI: 10.1049/itr2.12244

投稿常见问题

通讯方式:WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774。