ICSTTE 2024 - 会址更新 | 第二届智能轨道、交通与运输工程国际会议征文通知

      2024年第二届智能轨道、交通与运输工程国际会议 (ICSTTE 2024) 由重庆交通大学主办，西南交通大学、福建理工大学协办定于2024年10月25日至27日在中国重庆（华商国际会议中心）召开。

届时，全球顶尖的科学家、研究人员以及行业代表们将相聚重庆，在智能轨道、交通与运输工程领域展开讨论。ICSTTE 2024为专家学者开阔视野、加强交流、相互学习提供了一个重要的学术交流和合作平台，有利于与会者发展和建立学术联系，掌握全球的学术动态，推动该领域的发展，激发出更广阔的学术想象空间。

我们诚挚邀请您参与此次盛会。在这里，您可以自由地展示您的学术成果、分享最佳科研方法，或对会议组织与开展做出贡献。会议设立Best Paper、Best Presentation以及Best Poster等奖项，将颁发给大会评选出的最佳论文作者、最佳口头报告展示者和最佳海报展示者。

所有接收并注册成功的论文由Springer-Verlag旗下的Lecture Notes in Electrical Engineering（LNEE, ISSN: 1876-1100），并提交至EI Compendex、Scopus等主流数据库进行检索。

此外文章可选择EI源刊出版，期刊信息：International Journal of Vehicle Systems Modelling and Testing (ISSN: 1745-6444)。

Maria Pia Fanti

IEEE Fellow

Polytechnic University of Bari

Speech Title:

Machine learning and deep reinforcement learning applied in different fields

Abstract: 

Machine learning (ML) and deep reinforcement learning (DRL) have the potential to bring about significant impacts in automation across various industries and domains. The talk will explain how ML and DRL techniques can be applied in different automation fields: automotive, traffic management and structural health monitoring. Moreover, in each application the role of the simulation is of basic importance for training the agents. Some case studies will be presented in different application areas.Autonomous braking systems based on an intelligent agent trained with DRL can interact with the environment, collect data and react by controlling the vehicle speed when uncontrolled events require an action. DRL approaches are used for efficiently handling by intelligent traffic lights road traffic in road intersections where priority issues are important and autonomous vehicles are involved. Innovative methods based on ML tools are used for detecting damages in steel truss railway bridges to classify raw strain multivariate time series data.  

Bio: 

Maria Pia Fanti received the Laurea degree in electronic engineering from the University of Pisa, Pisa, Italy. She was a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Since 1983, she has been with the Department of Electrical and Information Engineering of the Polytechnic University of Bari, Italy, where she is currently a Full Professor of system and control engineering and Chair of the Laboratory of Automation and Control. Her research interests include management and modeling of complex systems, such as transportation, logistics and manufacturing systems; discrete event systems; Petri nets; consensus protocols; fault detection. Prof. Fanti is IEEE fellow and has published more than 340 papers and two textbooks on her research topics.

Zaigang Chen

Southwest Jiaotong Universtiy, China

Speech Title: 

Locomotive Drive and Transmission System Dynamics

Abstract: 

Large axle loads, extended train sets, high-speed operations, and dense traffic have emerged as pivotal trends in railway transportation. However, the engineering advancements in this field have already transcended the boundaries of conventional science. A decade-long, in-depth study was conducted, focusing on the dynamic behaviors and evolution rules of the drive and transmission system in railway locomotives under complex line and operation conditions. A comprehensive locomotive-track coupled dynamics model was established, taking into account the drive and transmission systems along with the control system. The effect of the drive and transmission system on the dynamic characteristics of the vehicle system was thoroughly investigated. Furthermore, the electromechanical coupling mechanism of the drive and transmission system of the locomotive under complex internal and external excitation was explored. In addition, the generation mechanisms, operational mechanisms, and evolutionary laws of various typical faults in critical components were explored. The research achievements perfected the calculation method of the internal dynamic excitation in drive and transmission systems and further expanded and enriched the theoretical system of the vehicle-track coupled dynamics system. Besides, the research achievements have applied in the dynamic design of the drive units of a high-speed train, the operation and maintenance of the heavy-haul locomotive, and the optimized design of the mountain rack train. Additionally, theoretical guidance has been proposed for the optimization design, fault diagnosis, and intelligent operations of key components in traction power transmission systems for rail vehicles.

Bio: 

Zaigang Chen, born in 1984, is a full professor and currently works at State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, China. He does research in railway vehicle system dynamics, mechanical transmission dynamics, and fault diagnosis. He received more than 20 research programs such as the National Natural Science Fundation programs and the National Key R&D Program of China. He has published 1 academic monograph and more than 130 academic papers in authoritative and well-known journals and conferences. Among them, there are more than 90 SCI papers (including 5 ESI highly cited papers) and more than 30 EI papers. These achievements have been successfully applied for solving the dynamics problems of the transmission system in the key equipment. Due to the good contributions, the applicant has been awarded the first prize of Chongqing Natural Sciences Award (ranked 2nd), the second National Prize for Progress in Science and Technology (ranked 9th), and the youth Science and Technology Award of China Vibration Engineering Society. He is also the council member of China Vibration Engineering Society, and the deputy director of the Committee of Young Scientific and Technological Workers of China Communications and Transportation Association. 

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