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中科院 1區(qū) 期刊 JCR Q1 期刊中科院 2區(qū) 期刊 JCR Q2 期刊中科院 3區(qū) 期刊 JCR Q3 期刊中科院 4區(qū) 期刊 JCR Q4 期刊

Journal Of Intelligent Transportation Systems SCIE SSCI

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

主要研究方向：工程技術(shù)-運(yùn)輸科技非預(yù)警期刊審稿周期：約6.0個(gè)月

《智能交通系統(tǒng)雜志》(Journal Of Intelligent Transportation Systems)是一本由Taylor and Francis Ltd.出版的以工程技術(shù)-運(yùn)輸科技為研究特色的國際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開放期刊，近三年沒有被列入預(yù)警名單。

3區(qū) 中科院分區(qū)
Q2 JCR分區(qū)
36 年發(fā)文量
2.8 IF影響因子
未開放 是否OA
36 H-index
2004 創(chuàng)刊年份
Quarterly 出版周期
English 出版語言

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.

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Journal Of Intelligent Transportation Systems期刊信息

ISSN：1547-2450
出版語言：English
是否OA：未開放
E-ISSN：1547-2442
出版地區(qū)：UNITED STATES
是否預(yù)警：否
出版商：Taylor and Francis Ltd.
出版周期：Quarterly
創(chuàng)刊時(shí)間：2004
開源占比：0.0459
Gold OA文章占比：5.81%
OA被引用占比：0.0092...
出版國人文章占比：0.27
出版撤稿占比：0
研究類文章占比：100.00%

Journal Of Intelligent Transportation Systems CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

8.8

1.076

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%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書籍章節(jié)和數(shù)據(jù)論文。

Journal Of Intelligent Transportation Systems中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	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 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	2區(qū)	TRANSPORTATION 交通運(yùn)輸 TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技	3區(qū) 3區(qū)

中科院 2021年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	2區(qū)	TRANSPORTATION 交通運(yùn)輸 TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技	3區(qū) 3區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	3區(qū)	TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技	3區(qū)

中科院 2021年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	2區(qū)	TRANSPORTATION 交通運(yùn)輸 TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技	3區(qū) 3區(qū)

中科院 2020年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	2區(qū)	TRANSPORTATION 交通運(yùn)輸 TRANSPORTATION SCIENCE & TECHNOLOGY 運(yùn)輸科技	3區(qū) 3區(qū)

Journal Of Intelligent Transportation Systems JCR評(píng)價(jià)數(shù)據(jù)（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%

Journal Of Intelligent Transportation Systems歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

Journal Of Intelligent Transportation Systems中國學(xué)者發(fā)文選摘

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