Journal of Modern Transportation

Aims & Scope

Railway Engineering Science is an international, peer-reviewed, and free open-access journal that publishes original research articles and comprehensive reviews related to fundamental engineering science and emerging technologies in rail transit systems, focusing on the cutting-edge research in high-speed railway, heavy-haul railway, urban rail transit, maglev system, hyperloop transportation, etc.

The main goal of the journal is to maintain high quality of publications, serving as a medium for railway academia and industry to exchange new ideas and share the latest achievements in scientific research, technical innovation and industrial development in railway science and engineering.

The topics include but are not limited to: -Design theory and construction technology- System dynamics and safety- Electrification, signaling and communication- Operation and maintenance- System health monitoring and reliability- Environmental impact and sustainability- Cutting-edge technologies.

The publication costs for Railway Engineering Science are fully covered by Southwest Jiaotong University so authors do not need to pay any article-processing charges.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Social Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

  Citation: 612

  Authors: Saeed Asadi, Madjid, Mohsen, Tracey

• A comprehensive review on hybrid electric vehicles: architectures and components

  Citation: 270

  Authors: Krishna Veer, Hari Om, Dheerendra

• Identification of crash hotspots using kernel density estimation and kriging methods: a comparison

  Citation: 128

  Authors: Lalita, Tae J., Liping

• A data mining approach to characterize road accident locations

  Citation: 123

  Authors: Sachin, Durga

• Connect & Drive: design and evaluation of cooperative adaptive cruise control for congestion reduction

  Citation: 106

  Authors: Jeroen, Alex F. A., Geert J.

• Mechanistic-empirical pavement design guide (MEPDG): a bird’s-eye view

  Citation: 104

  Authors: Qiang, Danny X., Kelvin C. P., Kevin D., Yanjun

• Using Kalman filter algorithm for short-term traffic flow prediction in a connected vehicle environment

  Citation: 92

  Authors: Azadeh, Majid, Saeed

• Identification of activity stop locations in GPS trajectories by density-based clustering method combined with support vector machines

  Citation: 84

  Authors: Lei, Hitomi, Toshiyuki, Tomio, Takayuki

• Overview and outlook on railway track stiffness measurement

  Citation: 64

  Authors: Ping, Li, Rong, Jinhui, Jinmang, Mingyuan

• Real-time crash prediction on freeways using data mining and emerging techniques

  Citation: 64

  Authors: Jinming, Junhua, Jingqiu