Journal of Traffic and Transportation Engineering (English Edition)

Aims & Scope

As an academic journal, the Journal of Traffic and Transportation Engineering (English Edition) provides a platform for the exchange and discussion of novel and creative ideas on theoretical and experimental research in the field of transportation.

This journal publishes high-quality peer-reviewed papers on engineering, planning, management, and information technology for transportation.

The journal is committed to rapid peer review and publication.

The scope of the Journal of Traffic and Transportation Engineering (English Edition) includes: • Road engineering, railway engineering, and bridge and tunnel engineering • Automotive engineering, design, manufacture, and operation of vehicles • Air transportation, maritime transportation, road transportation, and railway transportation • Analysis, operation, optimization, and planning of transportation systems and networks • Travel behavior, information technology, traffic control, and traffic flow theory • Economics, safety, and management of transportation • Multimodal transportation and logistics research • Intelligent transport systems • Materials science

Metrics & Ranking

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)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in 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
• Preservation url
• Apc url
• License

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering and Social Sciences, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

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.

• Advances in geopolymer materials: A comprehensive review

  Citation: 164

  Authors: Peiliang, Yaqian

• A review of road extraction from remote sensing images

  Citation: 153

  Authors: Weixing, Nan, Yi, Fengping, Ting, Patrik

• Recent advances in connected and automated vehicles

  Citation: 131

  Authors: David, Walter, Lei

• Smart mobility and public transport: Opportunities and challenges in rural and urban areas

  Citation: 120

  Authors: Simone, Francesco Edoardo, Filippo Eros, Cino

• State-of-the-art review on multi-criteria decision-making in the transport sector

  Citation: 113

  Authors: George, Angeliki, Anastasios, Virginia

• Modern data sources and techniques for analysis and forecast of road accidents: A review

  Citation: 88

  Authors: Camilo, César

• Study on demand and characteristics of parking system in urban areas: A review

  Citation: 87

  Authors: Janak, Pritikana, Sanjaykumar M.

• Prediction of pavement roughness using a hybrid gene expression programming-neural network technique

  Citation: 83

  Authors: Mehran, Daniel D.

• Effects of moisture damage on asphalt mixtures

  Citation: 82

  Authors: Hend Ali, Nur Izzi Md., Muhammad, Halil

• Pavement crack image acquisition methods and crack extraction algorithms: A review

  Citation: 81

  Authors: Weixing, Mengfei, Hongxia, Heng, Kevin, Changtao, Jun, Sifan, Jiabin