《Transportation Research Part C-emerging Technologies》重点专注发布工程技术-运输科技领域的新研究，旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。根据网友分享的投稿经验，平均审稿速度为 约12.0个月 约14.5周。该杂志创刊至今，在工程技术-运输科技领域，影响力非凡，对来稿文章质量要求很高，稿件投稿过审难度很大，刊登文章的学术水平和编辑质量在同类杂志中均名列前茅。如果你想在该杂志上发表论文，你可以向编辑部提交文章，但文章必须具有重要意义并代表该领域专业的发展。我们欢迎广大同领域的研究者提交投稿。
| CiteScore | SJR | SNIP | CiteScore排名 | |||
|---|---|---|---|---|---|---|
| 15.8 | 2.86 | 2.724 | 学科类别 | 分区 | 排名 | 百分位 |
|
大类：大类：Engineering
小类：小类：AutomotiveEngineering
|
Q1 | 2/125 | 98% | |||
|
大类：大类：Engineering
小类：小类：CivilandStructuralEngineering
|
Q1 | 7/379 | 98% | |||
|
大类：大类：Engineering
小类：小类：ManagementScienceandOperationsResearch
|
Q1 | 6/207 | 97% | |||
|
大类：大类：Engineering
小类：小类：Transportation
|
Q1 | 9/141 | 93% | |||
| 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% |
文章名称
引用次数
A hybrid deep learning based traffic flow prediction method and its understanding
84
What have we learned? A review of stated preference and choice studies on autonomous vehicles
52
The roles of initial trust and perceived risk in publics acceptance of automated vehicles
52
DeepPF: A deep learning based architecture for metro passenger flow prediction
48
What drives people to accept automated vehicles? Findings from a field experiment
45
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
45
Autonomous vehicle perception: The technology of today and tomorrow
44
An empirical investigation on consumers intentions towards autonomous driving
43
On the min-cost Traveling Salesman Problem with Drone
42
A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation
39
国家/地区
发文量
TUSA
411
TCHINA MAINLAND
329
TNetherlands
81
TAustralia
72
TEngland
65
TCanada
42
TSingapore
40
TSwitzerland
38
TFrance
32
TGERMANY (FED REP GER)
30
