Journal Of Intelligent Transportation Systems

Journal Of Intelligent Transportation Systems

智能交通系统杂志

  • 3区 中科院分区
  • Q2 JCR分区

期刊简介

《Journal Of Intelligent Transportation Systems》是由Taylor and Francis Ltd.出版社于2004年创办的英文国际期刊(ISSN: 1547-2450,E-ISSN: 1547-2442),该期刊长期致力于运输科技领域的创新研究,主要研究方向为工程技术-运输科技。作为SCIE、SSCI收录期刊(JCR分区 Q2,中科院 3区),本刊采用OA未开放获取模式(OA占比0.0092...%),以发表运输科技领域等方向的原创性研究为核心(研究类文章占比100.00%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在36篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动工程技术领域高水平交流平台。

投稿咨询

投稿提示

Journal Of Intelligent Transportation Systems审稿周期约为 约6.0个月 。该刊近年未被列入国际预警名单,年发文量约36篇,录用竞争适中,主题需确保紧密契合工程技术前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 工程技术 大类学科
  • English 出版语言
  • 是否预警
  • SCIE、SSCI 期刊收录
  • 36 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
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 SCI 期刊分区 2022年12月升级版

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

JCR分区

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%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:8.8 SJR:1.076 SNIP: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%

期刊发文

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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