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Transportation Research Part C-emerging TechnologiesSCIE

國際簡稱：TRANSPORT RES C-EMER 參考譯名：交通運輸研究 C 部分——新興技術(shù)

中科院分區(qū)
1區(qū)
CiteScore分區(qū)
Q1
JCR分區(qū)
Q1

基本信息：: ISSN：0968-090X; E-ISSN：1879-2359; 是否OA：未開放; 是否預(yù)警：否; TOP期刊：是

出版信息：: 出版地區(qū)：ENGLAND; 出版商：Elsevier Ltd; 出版語言：English; 出版周期：Bimonthly; 出版年份：1993; 研究方向：工程技術(shù)-運輸科技

評價信息：: 影響因子：7.6; H-index：100; CiteScore指數(shù)：15.8; SJR指數(shù)：2.86; SNIP指數(shù)：2.724

發(fā)文數(shù)據(jù)：: Gold OA文章占比：26.11%; 研究類文章占比：99.42%; 年發(fā)文量：343; 自引率：0.1204...; 開源占比：0.157; 出版撤稿占比：0; 出版國人文章占比：0.24; OA被引用占比：0.0354...

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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Transportation Research Part C-emerging Technologies期刊介紹

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.

期刊簡介Transportation Research Part C-emerging Technologies期刊介紹

《Transportation Research Part C-emerging Technologies》自1993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)各個領(lǐng)域的原創(chuàng)研究提供一個展示平臺，以促進工程技術(shù)領(lǐng)域的的進步。該刊鼓勵先進的、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€重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時報道工程技術(shù)領(lǐng)域的最新進展和新發(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收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點：

預(yù)計審稿時間：約12.0個月約14.5周
國際TOP期刊
工程技術(shù)
TRANSPORTATION SCIENCE & TECHNOLOGY
SCIE
中科院1區(qū)
非預(yù)警

Cite Score數(shù)據(jù)（2024年最新版）Transportation Research Part C-emerging Technologies Cite Score數(shù)據(jù)

CiteScore：15.8
SJR：2.86
SNIP：2.724

學(xué)科類別	分區(qū)	排名	百分位
大類：Engineering 小類：Automotive Engineering	Q1	2 / 125	98%
大類：Engineering 小類：Civil and Structural Engineering	Q1	7 / 379	98%
大類：Engineering 小類：Management Science and Operations Research	Q1	6 / 207	97%
大類：Engineering 小類：Transportation	Q1	9 / 141	93%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標(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。

歷年Cite Score趨勢圖

中科院SCI分區(qū)Transportation Research Part C-emerging Technologies 中科院分區(qū)

中科院 2023年12月升級版 綜述期刊：否 Top期刊：是

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)
工程技術(shù)	1區(qū)	TRANSPORTATION SCIENCE & TECHNOLOGY 運輸科技	1區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ)，運用科學(xué)計量學(xué)方法對國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進行等級劃分的期刊評價標(biāo)準(zhǔn)。它為我國科研、教育機構(gòu)的管理人員、科研工作者提供了一份評價國際學(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)四個層次，類似于“優(yōu)、良、及格”等。最開始，這個分區(qū)只是為了方便圖書管理及圖書情報領(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)Transportation Research Part C-emerging Technologies 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 SCIENCE & TECHNOLOGY	SCIE	Q1	7 / 72	91%

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 SCIENCE & TECHNOLOGY	SCIE	Q1	8 / 72	89.58%

JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對學(xué)術(shù)文獻質(zhì)量進行評估。不同學(xué)科的文章引用量可能存在較大的差異，此時單獨依靠影響因子(IF)評價期刊的質(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

國家/地區(qū)數(shù)量
USA411
CHINA MAINLAND329
Netherlands81
Australia72
England65
Canada42
Singapore40
Switzerland38
France32
GERMANY (FED REP GER)30

本刊中國學(xué)者近年發(fā)表論文

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