Transportation Research Part C-emerging Technologies SCIE

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

主要研究方向：工程技术-运输科技非预警期刊审稿周期：约12.0个月约14.5周

《交通运输研究 C 部分——新兴技术》(Transportation Research Part C-emerging Technologies)是一本由Elsevier 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。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

1区中科院分区
Q1 JCR分区
343 年发文量
7.6 IF影响因子
未开放 是否OA
100 H-index
1993 创刊年份
Bimonthly 出版周期
English 出版语言

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.

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Transportation Research Part C-emerging Technologies期刊信息

ISSN：0968-090X
出版语言：English
是否OA：未开放
E-ISSN：1879-2359
出版地区：ENGLAND
是否预警：否
出版商：Elsevier Ltd
出版周期：Bimonthly
创刊时间：1993
开源占比：0.157
Gold OA文章占比：26.11%
OA被引用占比：0.0354...
出版国人文章占比：0.24
出版撤稿占比：0
研究类文章占比：99.42%

Transportation Research Part C-emerging Technologies CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

15.8

2.86

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%

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。

Transportation Research Part C-emerging Technologies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
是	否	工程技术	1区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	1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
是	否	工程技术	1区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	1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
是	否	工程技术	1区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	1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	2区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	2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
是	否	工程技术	1区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	1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
是	否	工程技术	1区	TRANSPORTATION SCIENCE & TECHNOLOGY 运输科技	1区

Transportation Research Part C-emerging Technologies 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 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%

Transportation Research Part C-emerging Technologies历年数据统计

影响因子

中科院分区

Transportation Research Part C-emerging Technologies中国学者发文选摘

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