Journal Of Intelligent Transportation Systems SCIE SSCI

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

主要研究方向：工程技术-运输科技非预警期刊审稿周期：约6.0个月

《智能交通系统杂志》(Journal Of Intelligent Transportation Systems)是一本由Taylor and Francis Ltd.出版的以工程技术-运输科技为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。

3区中科院分区
Q2 JCR分区
36 年发文量
2.8 IF影响因子
未开放 是否OA
36 H-index
2004 创刊年份
Quarterly 出版周期
English 出版语言

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
出版语言：English
是否OA：未开放
E-ISSN：1547-2442
出版地区：UNITED STATES
是否预警：否
出版商：Taylor and Francis Ltd.
出版周期：Quarterly
创刊时间：2004
开源占比：0.0459
Gold OA文章占比：5.81%
OA被引用占比：0.0092...
出版国人文章占比：0.27
出版撤稿占比：0
研究类文章占比：100.00%

Journal Of Intelligent Transportation Systems CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

8.8

1.076

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%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Journal Of Intelligent Transportation Systems中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	2区	TRANSPORTATION 交通运输 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	3区 3区

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	2区	TRANSPORTATION 交通运输 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	3区 3区

中科院 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	3区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	3区

中科院 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	2区	TRANSPORTATION 交通运输 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	3区 3区

中科院 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	2区	TRANSPORTATION 交通运输 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	3区 3区

Journal Of Intelligent Transportation Systems JCR评价数据（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%

Journal Of Intelligent Transportation Systems历年数据统计

影响因子

中科院分区

Journal Of Intelligent Transportation Systems中国学者发文选摘

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