JSTT has been accepted in Scopus

Journal of Science and Transport Technology (JSTT) (E-ISSN: 2734-9950) under the publisher of University of Transport Technology (UTT) has been granted permission by the Ministry of Information and Communication, Vietnam, under Document No. 399/GP-BTTTT dated June 29, 2021, to publish issues in English. JSTT is indexed in SCOPUS and Google Scholar. All published papers are assigned a DOI and are registered with Crossref. To ensure academic integrity, each submission is thoroughly checked for similarity using the iThenticate tool to prevent plagiarism.

JSTT is dedicated to continuously enhancing the quality of its published articles and online editorial system to meet international standards. It serves as a prestigious platform for local and international scientists to exchange and publish new research findings, supporting scientific advancements and industry applications. In its pursuit to solidify its international standing, the Journal is actively seeking contributions from domestic and international scientists.

JSTT is a peer-reviewed scientific journal specializing in the field of construction, covering the following areas: building and industrial construction; bridge and road engineering; coastal, offshore, and hydraulic engineering; materials science; mechanical engineering; architecture and urban planning; environmental engineering; natural sciences; and information technology. Through continuous development in both quantity and quality, the Journal has steadily established itself as a premier scientific and technological publication in the field of civil engineering construction; applied and natural sciences.

JSTT publishes high-quality original research articles, review articles, and technical notes covering various aspects of science and technology, particularly focusing on infrastructure development. It encompasses the following areas, with a scope that extends beyond these:

- Transport planning and traffic engineering
- Civil and structure engineering
- Construction materials
- Mechanical engineering
- Geotechnical engineering
- Earth and Environmental Engineering
- Computer sciences
- Electricity, electronics, telecommunications
- Automotive engineering

Vol. 5 No. 4 (2025)

Published: 2025-12-30

Data-driven approach in predicting truck arrival time in logistics: a field study of India

Manh Hung Nguyen, Cam Van Dam, Thi Hoai Linh Le, Thi Khanh Ngoc Nguyen

116-135

Accurate and Interpretable Prediction of Marshall Stability for Basalt Fiber Modified Asphalt Concrete using Ensemble Machine Learning

Huong Giang Thi Hoang, Ngoc Kien Bui, Thanh Hai Le, Thi Diep Phuong Bach, Hoa Van Bui, Tai Van Nguyen

1-24

View All Issues

Special Issue: Advancements in Civil Engineering: Integrating AI, Digital Twins, and Industry 4.0 Innovations

2025-08-30

Summary

The civil engineering and construction sectors are undergoing a profound transformation, driven by the convergence of cyber-physical systems and the technologies of the 4th Industrial Revolution (Industry 4.0). Globally, the integration of Artificial Intelligence (AI), Digital Twins, Additive Manufacturing (3D Printing), Nanotechnology, and the Internet of Things (IoT) is moving from theoretical research to large-scale practical application.

In this dynamic context, nations like Vietnam are at a pivotal moment, making substantial strategic investments to adopt and master these key technologies. This national focus is creating a fertile ground for innovation, applying advanced computational and material sciences to solve long-standing challenges in infrastructure and urban development. We are witnessing these technologies being actively deployed in both academic research and high-impact, real-world applications.

This Special Issue aims to capture this global momentum by curating a collection of high-quality, original research articles and comprehensive review papers. We seek to document and analyze the most recent developments in the application of AI and other Industry 4.0 technologies within civil engineering.

The primary goal is to illustrate the tangible advantages these innovations bring, such as:

  • Accelerating project timelines from design to completion.
  • Enhancing structural safety, resilience, and sustainability.
  • Optimizing resource management, logistics, and operational efficiency.
  • Creating new pathways for smart materials, structures and autonomous systems.

We invite researchers, academics, and industry practitioners to submit their work and contribute to this timely and critical discourse.

Keywords

  • Machine Learning & Deep Learning
  • Computer Vision (CV)
  • Physics-Informed Neural Networks (PINNs)
  • Natural Language Processing (NLP)
  • Generative AI
  • Digital Twins
  • AI-augmented Building Information Modeling (BIM)
  • Robotics and Automation in construction
  • Optimization Algorithms
  • Additive Manufacturing
  • AI-driven Materials Science
  • IoT and Sensor Networks
  • Intelligent Transportation Systems (ITS)

Submission guidelines & Deadlines

Manuscript submission deadline: 30 August, 2026

Authors are invited to submit their manuscripts through the Journal of Science and Transport Technology, JSTT (E-ISSN: 2734-9950) online submission system at https://jstt.vn/index.php/en

All submissions must be original and may not be under review by any other journal. Manuscripts should be prepared according to the "Guide for Authors" available on the journal's website. All papers will be subject to a rigorous, double-blind peer-review process.

On behalf of the Guest Editorial Team

Assoc. Prof. Hai-Bang Ly

E-mail: banglh@utt.edu.vn

Special Issue: Modern Mechanics and Emerging Applications for Industry 4.0

2025-06-30

Summary

The convergence of mechanical sciences with digital technologies, smart materials, and intelligent systems is reshaping the foundation of modern engineering within the context of the Fourth Industrial Revolution (Industry 4.0). As the demand grows for smarter, faster, and more adaptive systems across the aerospace, automotive, biomedical, manufacturing, and infrastructure sectors, modern mechanics is evolving to address these interdisciplinary challenges.

Traditional paradigms in structural analysis, material modeling, and mechanical system design are being augmented by advancements in computational mechanics, additive manufacturing, artificial intelligence, and cyber-physical systems. These innovations enable the development of materials and structures with superior performance, functionality, and adaptability.

However, these emerging applications also introduce significant complexity regarding modeling fidelity, multi-scale interactions, real-time control, and data-driven optimization. Addressing such challenges necessitates a new generation of mechanical modeling techniques, synergistic integration with information technologies, and robust cross-disciplinary collaboration.

This Special Issue invites high-quality contributions that explore these advancements. While the issue welcomes selected extended papers from the 2nd International Conference on Modern Mechanics and Applications (ICOMMA2025) (Ho Chi Minh City, Vietnam, October 17–19, 2025), it is strictly open to external submissions to ensure broad participation and global impact.

All manuscripts must be submitted through the journal’s online system and will undergo a rigorous peer-review process, adhering to the journal’s high standards. Both conference-extended and independent submissions will be evaluated based on originality, technical depth, and relevance to the Special Issue's theme.

Keywords:

  • Modern mechanics
  • Computational mechanics
  • Mechanics 4.0
  • Multiphysics modeling
  • Smart materials and structures
  • Additive manufacturing
  • Data-driven modeling
  • Machine learning in mechanics
  • Bioinspired structures
  • Cyber-physical systems
  • AI-driven design

Deadline: 30/06/2026

Chief Guest Editor:

Co-Chief Guest Editor:

  • Name: Assoc.Prof. Dr. Vu Hoai Nam
  • Affiliation: Faculty of Civil Engineering, University of Transport Technology, Hanoi, Vietnam
  • E-mail: hoainam.vu@utt.edu.vn