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    Journal Of Intelligent Transportation Systems

    Journal Of Intelligent Transportation SystemsSCIESSCI

    國(guó)際簡(jiǎn)稱:J INTELL TRANSPORT S  參考譯名:智能交通系統(tǒng)雜志

    • 中科院分區(qū)

      3區(qū)

    • CiteScore分區(qū)

      Q1

    • JCR分區(qū)

      Q2

    基本信息:
    ISSN:1547-2450
    E-ISSN:1547-2442
    是否OA:未開(kāi)放
    是否預(yù)警:否
    TOP期刊:否
    出版信息:
    出版地區(qū):UNITED STATES
    出版商:Taylor and Francis Ltd.
    出版語(yǔ)言:English
    出版周期:Quarterly
    出版年份:2004
    研究方向:工程技術(shù)-運(yùn)輸科技
    評(píng)價(jià)信息:
    影響因子:2.8
    H-index:36
    CiteScore指數(shù):8.8
    SJR指數(shù):1.076
    SNIP指數(shù):1.555
    發(fā)文數(shù)據(jù):
    Gold OA文章占比:5.81%
    研究類文章占比:100.00%
    年發(fā)文量:36
    自引率:0.1944...
    開(kāi)源占比:0.0459
    出版撤稿占比:0
    出版國(guó)人文章占比:0.27
    OA被引用占比:0.0092...
    英文簡(jiǎn)介 期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見(jiàn)問(wèn)題

    英文簡(jiǎn)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(jiǎn)介Journal Of Intelligent Transportation Systems期刊介紹

    《Journal Of Intelligent Transportation Systems》自2004出版以來(lái),是一本工程技術(shù)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果,并為工程技術(shù)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái),以促進(jìn)工程技術(shù)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述,從廣泛的視角提供當(dāng)前感興趣的研究主題的新見(jiàn)解,或?qū)彶槎嗄陙?lái)某個(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道工程技術(shù)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫(kù)SCIE、SSCI收錄,得到了廣泛的認(rèn)可。

    該期刊投稿重要關(guān)注點(diǎn):

    Cite Score數(shù)據(jù)(2024年最新版)Journal Of Intelligent Transportation Systems Cite Score數(shù)據(jù)

    • CiteScore:8.8
    • SJR:1.076
    • SNIP:1.555
    學(xué)科類別 分區(qū) 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(ài)思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫(kù)中收集的引文為基礎(chǔ),針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法,而不僅僅是通過(guò)影響因子(IF)這一單一指標(biāo)來(lái)評(píng)價(jià)。

    歷年Cite Score趨勢(shì)圖

    中科院SCI分區(qū)Journal Of Intelligent Transportation Systems 中科院分區(qū)

    中科院 2023年12月升級(jí)版 綜述期刊:否 Top期刊:否
    大類學(xué)科 分區(qū) 小類學(xué)科 分區(qū)
    工程技術(shù) 3區(qū) TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技 TRANSPORTATION 交通運(yùn)輸 3區(qū) 4區(qū)

    中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ),運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國(guó)際、國(guó)內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國(guó)科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國(guó)際學(xué)術(shù)期刊影響力的參考數(shù)據(jù),得到了全國(guó)各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

    中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次,類似于“優(yōu)、良、及格”等。最開(kāi)始,這個(gè)分區(qū)只是為了方便圖書(shū)管理及圖書(shū)情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

    歷年中科院分區(qū)趨勢(shì)圖

    JCR分區(qū)Journal Of Intelligent Transportation Systems JCR分區(qū)

    2023-2024 年最新版
    按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
    學(xué)科:TRANSPORTATION SSCI Q3 33 / 57

    43%

    學(xué)科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

    59%

    按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
    學(xué)科:TRANSPORTATION SSCI Q3 35 / 57

    39.47%

    學(xué)科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q2 30 / 72

    59.03%

    JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異,此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問(wèn)題的。因此,JCR將期刊按照學(xué)科門(mén)類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

    歷年影響因子趨勢(shì)圖

    發(fā)文數(shù)據(jù)

    2023-2024 年國(guó)家/地區(qū)發(fā)文量統(tǒng)計(jì)
    • 國(guó)家/地區(qū)數(shù)量
    • USA76
    • CHINA MAINLAND65
    • India8
    • Australia7
    • Canada7
    • GERMANY (FED REP GER)7
    • Iran6
    • South Korea6
    • England5
    • Italy4

    本刊中國(guó)學(xué)者近年發(fā)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(jiàn)問(wèn)題

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