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當(dāng)前位置： 首頁 SCI期刊 SCIE期刊SSCI期刊 工程技術(shù) 中科院3區(qū) JCRQ2 期刊介紹(非官網(wǎng))
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(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(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 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(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解，或?qū)彶槎嗄陙砟硞€(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(愛思唯爾)推出的另一種評價(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)庫中收集的引文為基礎(chǔ)，針對的是前四年發(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、更客觀地評價(jià)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(biāo)來評價(jià)。

歷年Cite Score趨勢圖

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)方法對國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評價(jià)標(biāo)準(zhǔn)。它為我國科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評價(jià)國際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國各地高校、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。最開始，這個(gè)分區(qū)只是為了方便圖書管理及圖書情報(bào)領(lǐng)域的研究和期刊評估。之后中科院分區(qū)逐步發(fā)展成為了一種評價(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)勢在于它可以幫助讀者對學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評估。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)評價(jià)期刊的質(zhì)量可能是存在一定問題的。因此，JCR將期刊按照學(xué)科門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。

歷年影響因子趨勢圖

發(fā)文數(shù)據(jù)

2023-2024 年國家/地區(qū)發(fā)文量統(tǒng)計(jì)
  • 國家/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

投稿常見問題

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