【CSTFM 2024】征稿专题（二）：智慧交通中的协同感知与智能运维

01

分会主席

吴建清，男，山东烟台人，工学博士（后），教授，博士生导师，山东省泰山学者青年专家，山东大学齐鲁青年学者，齐鲁交通学院智慧交通系主任。

主持国家重点研发计划课题、国家自然科学基金项目、山东省重点研发计划、江苏省自然科学基金、公安部道路交通安全重点实验室开放基金、山东省智慧交通重点实验室开放课题、苏州市科技攻关计划等。

主要从事智能交通系统与道路病害检测领域的科学研究，在《Accident Analysis and Prevention》、《Transportation Research Part C》、《Transportation Research Part F》、《IEEE Intelligent Transportation Systems Magazine》、《IEEE Sensors Journal》、《Construction Building and Materials》等著名期刊发表SCI/SSCI论文40余篇，其中第一作者或通讯作者30余篇。担任交通及智能监测领域内20余个知名期刊的审稿专家。

获国际、国家发明专利 11 项（9项第一位），完成专利成果转化 100 余万元，授权软件著作权 10 项。主持国家及省部级等项目 13 项（含国家重点研发计划课题 1 项、国家自然科学基金1项）。荣获山东省泰山学者青年专家、山东大学齐鲁青年学者荣誉称号。

02

专题信息

Keywords:

• Collaborative Perception

• Intelligent Operation
  

• Traffic conflicts
  

• Traffic data fusion
  

• Path optimization
  

• Data-driven

Summary:

In recent years, researchers and technicians in the field of Perception and Operation of Smart Transportation have made significant innovations, both in theoretical methods and engineering practices. With the background of artificial intelligence, theories of information fusion and methods of data-driven operation for transportation have continuously developed. Simultaneously, many technological projects in this domain have been funded by government like the Ministry of Transport and the National Natural Science Foundation, resulting in a collection of innovative achievements, and leading the technological frontier.

To timely summarize the developments, experiences, and recent advances in theoretical methods and engineering technology practices in the field of Smart Transportation, we initiated the "Smart Transportation Collaborative Perception and Intelligent Operation and Maintenance" session. The aim is to comprehensively analyze the development and achievements on frontier research in the field of collaborative perception and intelligent operation, while forecasting future trends and major directions of smart transportation. This session covers various domains, such as Collaborative perception of vehicle-road information, Fusion of data from multiple sources, Management of traffic conflicts, Path optimization of vehicles, Intelligent detection of diseases in transportation infrastructure, Date-driven evaluation of transportation infrastructure performance, Scientific decision-making in infrastructure management and maintenance. This session is expected to promote the research and application of collaborative perception and intelligent operation technologies in the field of smart transportation. Further, scholars and engineers can facilitate the translation and promotion of scientific and technological achievements, and further promote the construction of transportation in China.

Topics: 

• Collaborative perception of vehicle-road information

• Fusion of traffic data from multiple sources

• Management of traffic conflicts

• Path optimization of vehicles

• Intelligent detection of diseases in transportation infrastructure

• Data-driven evaluation of transportation infrastructure performance

• Scientific decision-making in infrastructure management and maintenance

03

投稿信息

在线链接投稿：

https://cmt3.research.microsoft.com/CSTFM2024

扫码投稿：

本次会议新增EI期刊（International Journal of Vehicle Systems Modelling and Testing）投稿。

投稿邮箱：email@icstte.org

*投稿时备注EI-JA投稿

重要日期：

摘要提交截止：2024年5月16日

全文提交截止：2024年5月30日

会议时间：2024年10月18-20日

1. 稿件必须为全英文稿件。
2. 所有稿件应为原创，未公开见刊的，论文需要符合主题、论据充分、具备实用价值和创新性。
3. 投稿的文章由评审进行评估，评估内容包括原创性、技术或研究的内容和深度、会议主题相关性、贡献性和可读性。

4. 文章篇幅一般在5-12页之间，不少于5页，含公式图表等。

5. 作者可通过iThenticate或其他查询系统自费查重，重复率不得超过20%且单条引用源不得高于5%。

6. 若您的文章被录用，我们将以邮件形式通知您，您将收到以下文件：录用通知、审稿意见表、注册表。

04

EI源刊

05

SCI期刊

会议秘书：Venus Wu

会议官网：www.cstfm.org

会议邮箱：mail@cstfm.org

联系电话：18108159229