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        Journal Of Intelligent Transportation Systems

        Journal Of Intelligent Transportation SystemsSCIESSCI

        國際簡稱:J INTELL TRANSPORT S  參考譯名:智能交通系統雜志

        • 中科院分區

          3區

        • CiteScore分區

          Q1

        • JCR分區

          Q2

        基本信息:
        ISSN:1547-2450
        E-ISSN:1547-2442
        是否OA:未開放
        是否預警:否
        TOP期刊:否
        出版信息:
        出版地區:UNITED STATES
        出版商:Taylor and Francis Ltd.
        出版語言:English
        出版周期:Quarterly
        出版年份:2004
        研究方向:工程技術-運輸科技
        評價信息:
        影響因子:2.8
        H-index:36
        CiteScore指數:8.8
        SJR指數:1.076
        SNIP指數:1.555
        發文數據:
        Gold OA文章占比:5.81%
        研究類文章占比:100.00%
        年發文量:36
        自引率:0.1944...
        開源占比:0.0459
        出版撤稿占比:0
        出版國人文章占比:0.27
        OA被引用占比:0.0092...
        英文簡介 期刊介紹 CiteScore數據 中科院SCI分區 JCR分區 發文數據 常見問題

        英文簡介Journal Of Intelligent Transportation Systems期刊介紹

        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.

        期刊簡介Journal Of Intelligent Transportation Systems期刊介紹

        《Journal Of Intelligent Transportation Systems》自2004出版以來,是一本工程技術優秀雜志。致力于發表原創科學研究結果,并為工程技術各個領域的原創研究提供一個展示平臺,以促進工程技術領域的的進步。該刊鼓勵先進的、清晰的闡述,從廣泛的視角提供當前感興趣的研究主題的新見解,或審查多年來某個重要領域的所有重要發展。該期刊特色在于及時報道工程技術領域的最新進展和新發現新突破等。該刊近一年未被列入預警期刊名單,目前已被權威數據庫SCIE、SSCI收錄,得到了廣泛的認可。

        該期刊投稿重要關注點:

        Cite Score數據(2024年最新版)Journal Of Intelligent Transportation Systems Cite Score數據

        • CiteScore:8.8
        • SJR:1.076
        • SNIP:1.555
        學科類別 分區 排名 百分位
        大類:Mathematics 小類:Applied Mathematics Q1 22 / 635

        96%

        大類:Mathematics 小類:Aerospace Engineering Q1 11 / 153

        93%

        大類:Mathematics 小類:Automotive Engineering Q1 13 / 125

        90%

        大類:Mathematics 小類:Control and Systems Engineering Q1 46 / 321

        85%

        大類:Mathematics 小類:Computer Science Applications Q1 136 / 817

        83%

        大類:Mathematics 小類:Software Q1 72 / 407

        82%

        大類:Mathematics 小類:Information Systems Q1 70 / 394

        82%

        CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發表論文的年篇均引用次數。CiteScore以Scopus數據庫中收集的引文為基礎,針對的是前四年發表的論文的引文。CiteScore的意義在于,它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標來評價。

        歷年Cite Score趨勢圖

        中科院SCI分區Journal Of Intelligent Transportation Systems 中科院分區

        中科院 2023年12月升級版 綜述期刊:否 Top期刊:否
        大類學科 分區 小類學科 分區
        工程技術 3區 TRANSPORTATION SCIENCE & TECHNOLOGY 運輸科技 TRANSPORTATION 交通運輸 3區 4區

        中科院分區表 是以客觀數據為基礎,運用科學計量學方法對國際、國內學術期刊依據影響力進行等級劃分的期刊評價標準。它為我國科研、教育機構的管理人員、科研工作者提供了一份評價國際學術期刊影響力的參考數據,得到了全國各地高校、科研機構的廣泛認可。

        中科院分區表 將所有期刊按照一定指標劃分為1區、2區、3區、4區四個層次,類似于“優、良、及格”等。最開始,這個分區只是為了方便圖書管理及圖書情報領域的研究和期刊評估。之后中科院分區逐步發展成為了一種評價學術期刊質量的重要工具。

        歷年中科院分區趨勢圖

        JCR分區Journal Of Intelligent Transportation Systems JCR分區

        2023-2024 年最新版
        按JIF指標學科分區 收錄子集 分區 排名 百分位
        學科:TRANSPORTATION SSCI Q3 33 / 57

        43%

        學科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

        59%

        按JCI指標學科分區 收錄子集 分區 排名 百分位
        學科:TRANSPORTATION SSCI Q3 35 / 57

        39.47%

        學科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

        59.03%

        JCR分區的優勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此,JCR將期刊按照學科門類和影響因子分為不同的分區,這樣讀者可以根據自己的研究領域和需求選擇合適的期刊。

        歷年影響因子趨勢圖

        發文數據

        2023-2024 年國家/地區發文量統計
        • 國家/地區數量
        • USA76
        • CHINA MAINLAND65
        • India8
        • Australia7
        • Canada7
        • GERMANY (FED REP GER)7
        • Iran6
        • South Korea6
        • England5
        • Italy4

        本刊中國學者近年發表論文

        • 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

        投稿常見問題

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