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Journal Of Intelligent Transportation Systems

Journal Of Intelligent Transportation SystemsSCIESSCI

国际简称：J INTELL TRANSPORT S  参考译名：智能交通系统杂志

  • 中科院分区

    3区

  • CiteScore分区

    Q1

  • JCR分区

    Q2

基本信息：
ISSN：1547-2450
E-ISSN：1547-2442
是否OA：未开放
是否预警：否
TOP期刊：否
出版信息：
出版地区：UNITED STATES
出版商：Taylor and Francis Ltd.
出版语言：English
出版周期：Quarterly
出版年份：2004
研究方向：工程技术-运输科技
评价信息：
影响因子：2.8
H-index：36
CiteScore指数：8.8
SJR指数：1.076
SNIP指数：1.555
发文数据：
Gold OA文章占比：5.81%
研究类文章占比：100.00%
年发文量：36
自引率：0.1944...
开源占比：0.0459
出版撤稿占比：0
出版国人文章占比：0.27
OA被引用占比：0.0092...
投稿咨询 加急见刊
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Journal Of Intelligent Transportation Systems期刊介绍

The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new.

The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption.

The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.

期刊简介Journal Of Intelligent Transportation Systems期刊介绍

《Journal Of Intelligent Transportation Systems》自2004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、SSCI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）Journal Of Intelligent Transportation Systems Cite Score数据

  • CiteScore：8.8
  • SJR：1.076
  • SNIP：1.555
学科类别 分区 排名 百分位
大类：Mathematics 小类：Applied Mathematics Q1 22 / 635

96%
大类：Mathematics 小类：Aerospace Engineering Q1 11 / 153

93%
大类：Mathematics 小类：Automotive Engineering Q1 13 / 125

90%
大类：Mathematics 小类：Control and Systems Engineering Q1 46 / 321

85%
大类：Mathematics 小类：Computer Science Applications Q1 136 / 817

83%
大类：Mathematics 小类：Software Q1 72 / 407

82%
大类：Mathematics 小类：Information Systems Q1 70 / 394

82%

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Journal Of Intelligent Transportation 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 3区 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技 TRANSPORTATION 交通运输 3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Journal Of Intelligent Transportation 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：TRANSPORTATION SSCI Q3 33 / 57

43%
学科：TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

59%
按JCI指标学科分区 收录子集 分区 排名 百分位
学科：TRANSPORTATION SSCI Q3 35 / 57

39.47%
学科：TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

59.03%

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
  • USA76
  • CHINA MAINLAND65
  • India8
  • Australia7
  • Canada7
  • GERMANY (FED REP GER)7
  • Iran6
  • South Korea6
  • England5
  • Italy4

本刊中国学者近年发表论文

  • 1、A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction

    Author: Xu, Xuecai; Jin, Xiaofei; Xiao, Daiquan; Ma, Changxi; Wong, S. C.

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 1, pp. 1-18. DOI: 10.1080/15472450.2021.1977639

  • 2、Stabilizing mixed cooperative adaptive cruise control traffic flow to balance capacity using car-following model

    Author: Qin, Yanyan; Wang, Hao

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 1, pp. 57-79. DOI: 10.1080/15472450.2021.1985490

  • 3、New fuel consumption model considering vehicular speed, acceleration, and jerk

    Author: Zhang, Licheng; Peng, Kun; Zhao, Xiangmo; Khattak, Asad J.

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 2, pp. 174-186. DOI: 10.1080/15472450.2021.2000406

  • 4、A two-stage trajectory planning model for cooperative truck platooning on freeways

    Author: Zhou, Tao; Zheng, Fangfang; Liu, Xiaobo; Fan, Zhichen

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 2, pp. 217-237. DOI: 10.1080/15472450.2021.2004410

  • 5、Vehicle trajectory extraction at the exit areas of urban freeways based on a novel composite algorithms framework

    Author: Liu, Ziyang; He, Jie; Zhang, Changjian; Yan, Xintong; Wang, Chenwei; Qiao, Boshuai

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 3, pp. 295-313. DOI: 10.1080/15472450.2021.2021079

  • 6、Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Author: Wang, Hao; Yuan, Yun; Yang, Xianfeng Terry; Zhao, Tian; Liu, Yang

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 3, pp. 314-334. DOI: 10.1080/15472450.2021.2023016

  • 7、Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images

    Author: Zhang, Cheng; Ho, H. W.; Lam, William H. K.; Ma, Wei; Wong, S. C.; Chow, Andy H. F.

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 3, pp. 364-383. DOI: 10.1080/15472450.2022.2027767

  • 8、Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Author: Cheng, Yanqiu; Hu, Xianbiao; Chen, Kuanmin; Yu, Xinlian; Luo, Yulong

    Journal: JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS. 2023; Vol. 27, Issue 3, pp. 396-410. DOI: 10.1080/15472450.2022.2046472

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