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Transportation Research Part C-emerging Technologies

Transportation Research Part C-emerging TechnologiesSCIE

国际简称:TRANSPORT RES C-EMER  参考译名:交通运输研究 C 部分——新兴技术

  • 中科院分区

    1区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:0968-090X
E-ISSN:1879-2359
是否OA:未开放
是否预警:否
TOP期刊:是
出版信息:
出版地区:ENGLAND
出版商:Elsevier Ltd
出版语言:English
出版周期:Bimonthly
出版年份:1993
研究方向:工程技术-运输科技
评价信息:
影响因子:7.6
H-index:100
CiteScore指数:15.8
SJR指数:2.86
SNIP指数:2.724
发文数据:
Gold OA文章占比:26.11%
研究类文章占比:99.42%
年发文量:343
自引率:0.1204...
开源占比:0.157
出版撤稿占比:0
出版国人文章占比:0.24
OA被引用占比:0.0354...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Transportation Research Part C-emerging Technologies期刊介绍

The focus of Transportation Research: Part C is high-quality, scholarly research that addresses development, applications, and implications, in the field of transportation, of emerging technologies from such fields as operations research, computer science, electronics, control systems, artificial intelligence, and telecommunications, among others. The interest is not in the individual technologies or methodologies per se, but in their ultimate implications for the planning, design, operation, control, management, maintenance and rehabilitation of transportation systems, services and components.

Of particular interest are the impacts of emerging technologies on transportation system performance, in terms of level of service, capacity, safety, reliability, resource consumption and the environment, economics and finance, privacy, standards, and liability. Submissions in the following areas of transportation are encouraged by Part C: the impact of emerging technologies for all modes and for intermodal transportation; intelligent transportation systems; real-time operations; logistics; resource management; consumer/traveler adoption, acceptance and usage of new technologies; infrastructure applications of emerging technologies.

期刊简介Transportation Research Part C-emerging Technologies期刊介绍

《Transportation Research Part C-emerging Technologies》自1993出版以来,是一本工程技术优秀杂志。致力于发表原创科学研究结果,并为工程技术各个领域的原创研究提供一个展示平台,以促进工程技术领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道工程技术领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Transportation Research Part C-emerging Technologies Cite Score数据

  • CiteScore:15.8
  • SJR:2.86
  • SNIP:2.724
学科类别 分区 排名 百分位
大类:Engineering 小类:Automotive Engineering Q1 2 / 125

98%

大类:Engineering 小类:Civil and Structural Engineering Q1 7 / 379

98%

大类:Engineering 小类:Management Science and Operations Research Q1 6 / 207

97%

大类:Engineering 小类:Transportation Q1 9 / 141

93%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Transportation Research Part C-emerging Technologies 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:是
大类学科 分区 小类学科 分区
工程技术 1区 TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技 1区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Transportation Research Part C-emerging Technologies JCR分区

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 SCIENCE & TECHNOLOGY SCIE Q1 7 / 72

91%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:TRANSPORTATION SCIENCE & TECHNOLOGY SCIE Q1 8 / 72

89.58%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • USA411
  • CHINA MAINLAND329
  • Netherlands81
  • Australia72
  • England65
  • Canada42
  • Singapore40
  • Switzerland38
  • France32
  • GERMANY (FED REP GER)30

本刊中国学者近年发表论文

  • 1、A new framework for mixed-user dynamic traffic assignment considering delay and accessibility to information

    Author: Hoang, Nam H.; Panda, Manoj; Vu, Hai L.; Ngoduy, Dong; Lo, Hong K.

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.trc.2022.103977

  • 2、A simulation-based metro train scheduling optimization incorporating multimodal coordination and flexible routing plans

    Author: Wang, Xingrong; Lv, Ying; Sun, Huijun; Xu, Guangtong; Qu, Yunchao; Wu, Jianjun

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.trc.2022.103964

  • 3、Real-time detection of abnormal driving behavior based on long short-term memory network and regression residuals

    Author: Ma, Yongfeng; Xie, Zhuopeng; Chen, Shuyan; Qiao, Fengxiang; Li, Zeyang

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.trc.2022.103983

  • 4、Improving short-term bike sharing demand forecast through an irregular convolutional neural network

    Author: Li, Xinyu; Xu, Yang; Zhang, Xiaohu; Shi, Wenzhong; Yue, Yang; Li, Qingquan

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.trc.2022.103984

  • 5、Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method

    Author: Yao, Zhihong; Wu, Yunxia; Wang, Yi; Zhao, Bin; Jiang, Yangsheng

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.trc.2022.103989

  • 6、Coordinated lane-changing scheduling of multilane CAV platoons in heterogeneous scenarios

    Author: Liu, Qingquan; Lin, Xi; Li, Meng; Li, Li; He, Fang

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.trc.2022.103992

  • 7、A framework for strategic online en-route operations: Integrating traffic flow and strategic conflict managements

    Author: Liu, Ziang; Xiao, Gang; Mao, Jizhi

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.trc.2022.103996

  • 8、Network-level signal predictive control with real-time routing information

    Author: Lin, Shichao; Dai, Jingchen; Li, Ruimin

    Journal: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.trc.2022.104007

投稿常见问题

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