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GEITS 专刊征稿:绿色智能弹性轨道交通系统

GEITS编辑部 爱思唯尔Elsevier 2023-04-13

Call For Papers






物联网、云计算等新技术的出现,为智慧轨道交通的发展带来机遇,而绿色技术(如可再生能源应用、节能运营、环保实践等)有助于轨道交通的低碳智能化,提高可持续性。如何将人工智能融入轨道交通同时提高铁路运输系统的弹性成为亟待解决的问题。本刊组织“绿色智能弹性轨道交通系统”(Special Issue on Approaches to green, smart and resilient rail transportation systems, AGSRRTS)专刊,介绍最新原创成果,分享前沿观点

本专刊将介绍最新原创成果,主要包括但不限于以下领域:1. 绿色轨道交通系统
  • 铁路运输系统与可再生能源综合优化

  • 用于铁路运输的可再生能源车辆

  • 光伏、风力发电和牵引电力系统集成

  • 光伏和轨道交通


   ......

2. 智慧轨道交通系统
  • 轨道运输的新兴计算机制

  • 轨道运输中的云或分布式计算应用

  • 轨道运输中的大数据应用

  • 轨道运输的边缘计算应用

  • 智能轨道交通智能控制与操作

  ......

3. 弹性轨道交通系统
  • 铁路运输风险评估、主动安全及应急管理

  • 铁路运输的可靠性、可用性、可维护性、安全性和互操作性

  • 能源系统与智能轨道交通的融合

  • 铁路运输能源的可及性

  • 面向轨道运输的能源系统

  ......


客编简介

贾利民,现为北京交通大学教授,博士生导师,轨道交通控制与安全国家重点实验室首席教授。长期从事轨道交通控制与安全、电气自动化与信息化、智能自动化领域、智能交通系统、交通运输安全工程领域的科研开发、人才培养、政府咨询工作。具有针对相关领域重大战略性及全局性问题组织和率领大团队进行开创性研究的能力。多年来为我国相关领域科技工作发挥了战略性专家和技术带头人的作用,是铁路智能运输系统、铁路智能自动化和铁路安全监控与预警技术领域最早的开拓和实践者之一。
吴命利,北京交通大学教授,博士生导师,电气工程学院院长,电力牵引教育部工程研究中心主任。主要研究方向为轨道交通牵引供电、电力系统数字仿真、电能质量评估与治理、新能源在轨道交通应用。近年来主持国家、省部级及企业合作科研项目40多项,获发明专利授权12项,在国内外学术刊物和学术会议上发表论文100余篇,获北京市科技进步奖、铁道科技进步奖等奖项。
冯江华,中车首席科学家,长期从事轨道交通列车控制与信息领域应用基础研究、关键技术攻关、产品平台研制,先后主持或参与研发“中华之星”“和谐号”“复兴号”“600km高速磁浮”等高速列车牵引与控制系统,率先创建虚拟轨道快运系统新制式。获发明专利50余件;主持制定国际、国家标准10余项;发表论文60余篇,出版专著3部。
李平,中国铁道科学研究院集团有限公司首席研究员,长期从事于智能铁路、铁路大数据应用、铁路信息化规划等领域研究,主持完成国家、省部级项目30余项,发表论文120余篇,出版专著3部,授权发明专利13项。联合主持提出智能高速铁路体系架构、铁路信息化总体规划等,负责完成铁路主数据管理平台、数据服务平台、安全预警与应急管理平台的研发和全国性应用。
王艳辉,北京交通大学教授,博士生导师。长期从事于轨道交通系统可靠性网络化建模分析与设计理论、轨道交通系统全局安全性与系统风险分析评估理论方面的科研工作。主持国家级、省部级及校企合作项目84项,发表论文120余篇,出版专著/教材9部,获得发明专利授权15项,软件著作权46项。获国家科学技术进步奖二等奖1项;省部级科学技术进步奖一等奖4项,二等奖4项,三等奖1项。
师瑞峰,华北电力大学控制与计算机工程学院教授,博士生导师。研究方向为交通与能源融合发展规划、电动汽车V2G优化调度。作为负责人承担了国家重点研发计划课题、国家自然科学基金等10余项科研项目。发表学术期刊论文60余篇,出版学术专著2部,获授权发明专利5项。担任国家重点研发计划项目指南专家,科技部万人计划、国家自然科学基金等评审专家。
张蜇,现为北京交通大学副教授,硕士生导师,国家重点研发计划课题负责人,中国智能交通协会轨道智能专委会委员。长期从事轨道交通人因工程以及轨道交通与能源融合科研教学工作。

Jiaqi Ma加州大学洛杉矶分校副教授,加州大学洛杉矶分校交通研究所副所长。主要研究方向为联网和自动化车辆、信息物理运输系统、交通系统弹性、分布式多智能体系统的协同控制智能交通系统、人工智能和先进计算在交通运输中的应用等。领导和管理了由美国交通部、国家科学基金会等智能交通系统领域共超过1700万美元的研究项目。担任国际期刊IEEE Open Journal of Intelligent Transportation Systems主编、Journal of Intelligent Transportation Systems副主编、IEEE ITS学会智能移动和交通5.0技术委员会联合主席等职务。

专刊信息

专刊主页:

https://www.sciencedirect.com/journal/green-energy-and-intelligent-transportation/about/call-for-papers

投稿截止日期:

2023-10-31

投稿链接:

https://www.editorialmanager.com/geits

(选择Section Category时,请选择“VSI: AGSRRTS”。)

期刊官网:

https://www.journals.elsevier.com/green-energy-and-intelligent-transportation


专刊简介


Aims & Scope

Transportation accounts for more than one-fifth of the world’s total CO2 emissions. The rail transportation sector, powered by power grid or fossil fuels, also faces a daunting challenge of decarbonization, for supporting the economy-wide carbon neutrality. Adopting alternative fuels such as hydrogen for rail vehicles and improving rail transportation efficiency are two promising strategies, but face different technological or policy barriers. It is also in urgent need to reduce CO2 emissions of Rail Transportation from perspective of WTW (Well to Wheel) and LCA (Life Cycle Assessment).


The advent of new technologies such as the Internet of Things and cloud computing has brought opportunities for the development of smart rail transportation. Smart rail transportation highlights the use of data and smart devices for rail traffic control, smart dispatch and high-efficiency organization which can improve performance of rail transportation system but have not been investigated fully. Therefore, how to incorporate artificial intelligence into rail transportation has become an urgent issue.


Resilience represent one of most important features imbodied in the sustainable rail transportation systems, the robustness to disturbances, continuity of service, recovery from interruption and quick response to environmental threatens are more and more vital to and have been ignored aspects in the construction and operation of rail transportation systems. So, comprehensive approaches to raising and imbodying resilience into rail transportation systems are in urgent need


Nowadays, green, smart and resilient rail transportation has to be intended as the way in which people access and explore the city with the help of safe, advanced and eco-friendly technologies. However, the multi-directional development of rail transportation involves multiple solutions, which creates a “paradox of choice” for planners and engineers. For example, a mass of smart system application for network-wide operation may result in high levels of energy consumption. The resilience of rail transportation system is also influenced if and when smart devices and green technologies are incorporated into rail transportation systems. On the other hand, the green technologies (such as renewable energy application, energy-saving operation, environment-friendly practice and so on) can contribute to smart rail transportation and improve sustainability. The special issue on “Approach to green, smart and resilient Rail Transportation systems” aims to provide a platform for researchers to present their cutting-edge research in addressing challenges faced in constructing the future rail transportation systems.


Topics of interest

This issue will publish original research papers, reviews, perspectives, and views & comments including but not limited to the following fields:


1. Green Rail Transportation system:


  • Potential evaluation of renewable energy in Rail Transportation

  • Integrated optimization of Rail Transportation system and renewable energy

  • Renewable energy vehicles for Rail Transportation

  • Integration of photovoltaic or wind power and traction power system

  • Integration of photovoltaic and railway stations

  • Integration of hydrogen and Rail Transportation

  • Novel electrification or re-electrification for Rail Transportation

  • Renewable energy application in Rail Transportation

  • Micro-grids in Rail Transportation.

  • Energy-saving operation of Rail Transportation


2.Smart Rail Transportation system


  • Emerging computing mechanism for Rail Transportation

  • Cloud or distributed computing applications in Rail Transportation

  • Big data applications in Rail Transportation

  • Edge-computing applications in Rail Transportation

  • Intelligent control and operation for smart Rail Transportation

  • Intelligent approaches for green Rail Transportation system


3. Resilient Rail Transportation system:


  • Risk assessment, active safety and emergency management for Rail Transportation

  • Reliability, availability, maintainability, safety and interoperability for Rail Transportation

  • Convergence of energy system and smart Rail Transportation

  • Accessibility of Energy for Rail Transportation

  • Rail Transportation -oriented energy systems;

  • Rail Transportation -dedicated energy systems;

  • Energy systems adaptive to Rail Transportation;

  • Coevolution of energy system and Rail Transportation

  • Renewable energy centric power supply of Rail Transportation.


Guest editors

Limin Jia, Beijing Jiaotong University, China, lmjia@bjtu.edu.cn

Mingli Wu, Beijing Jiaotong University, China, mlwu@bjtu.edu.cn

Jianghua Feng, CRRC Zhuzhou Electric Locomotive Institute Co., Ltd, China, fengjh@csrzic.com

Ping Li, China Academy of Railway Sciences Corporation Limited, China, ict_liping@sina.com

Yanhui Wang, Beijing Jiaotong University, China, wangyanhui@bjtu.edu.cn

Ruifeng Shi, North China Electric Power University, China, shi.ruifeng@ncepu.edu.cn

Zhe Zhang, Beijing Jiaotong University, China, zhangzhe@bjtu.edu.cn

Jiaqi Ma, University of California, USA, jiaqima@ucla.edu

关于我们

ABOUT US

Green Energy and ntelligent Transportation(《新能源与智能载运》)是由北京理工大学(BIT)和爱思唯尔出版集团(Elsevier)共同打造的综合性高水平国际化英文科技期刊,采用开放获取(OPEN ACCESS, OA)平台出版。本刊已入选中国科技期刊卓越行动计划高起点新刊项目

期刊由中国工程院院士、科睿唯安“全球高被引科学家”、北京理工大学孙逢春教授担任主编,国家万人计划、科技部中青年科技创新领军人才、北京理工大学王震坡教授和IET Fellow、国家基金委优秀青年获得者、北京理工大学熊瑞教授担任期刊执行主编。

办刊宗旨

本刊以刊发国际一流学术成果、引领新能源与智能载运科技创新、服务“交通强国”发展战略为宗旨,旨在聚焦国际绿色能源技术、先进储能技术以及具有低碳化、电动化、智能化、共享化等促进交通可持续发展的应用技术,为国内外专业研究学者和工程技术专家提供高水平的学术交流和信息传播平台。

聚焦领域


  • 先进储能系统与技术

  • 交通电动化、智能化与网联化

  • 电动运输与电网的相互关系

  • 牵引用电力电子设备

  • 绿色智能交通基础设施

  • 载运智能化与可持续发展

  • 新材料与轻量化技术在载运工具中的应用

  • 绿色交通与可持续发展(包括碳中和)

  • 人工智能、新材料和新技术的应用

办刊成果

本刊已入选中国科技期刊卓越行动计划高起点新刊项目。期刊收录文章将在Elsevier官方网站ScienceDirect平台上为广大读者提供免费阅读和下载服务。

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期刊网址

https://www.journals.elsevier.com/green-energy-and-intelligent-transportation/

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Email: geits@bitpjournal.org.cn

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