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2025 Vol.3 No.1

Open Access Article

Enhancing Road Safety and Network Intelligence through Vehicleto-Everything (V2X) Communication: Architectures, Models, and Performance Analysis

Qutaiba Ibrahim Ali, Hussein M. Mohammed

May 2025: 1-13 DOI: 10.55121/tdr.v3i1.426

1060 (Abstract) 638 (Download) PDF

Vehicle-to-Everything (V2X) communication is a transformative and rapidly advancing paradigm that enables real-time, bidirectional data exchange between vehicles, infrastructure, pedestrians, and broader network systems using wireless technologies. As urban mobility becomes more complex and traffic congestion, collision rates, and demand for safer and more efficient transportation rise, V2X emerge... more
Open Access Article

A Decomposition Model for Risk Equity and Network Accessibility Trade off in Hazardous Material Transportation: An Empirical Study

Abbas Mahmoudabadi

May 2025: 14-26 DOI: 10.55121/tdr.v3i1.404

489 (Abstract) 287 (Download) PDF

A major part of goods and substances transported across the world is categorized as hazardous materials (Hazmat) or dangerous goods. Hazmat transportation has potential risks in nature, so it is essential to avoid risk agglomeration in the most frequently selected routes while transport planning in practice. The concern leads authorities and practitioners to prevent risk concentration, so-called r... more
Open Access Article

Integrating 5PL Frameworks with Drone-Based Last-Mile Delivery: A Model for Future-Ready Logistics

Tejinder Singh Lakhwani

May 2025: 27-45 DOI: 10.55121/tdr.v3i1.449

1162 (Abstract) 778 (Download) PDF

The rapid evolution of logistics service providers from 1PL to 5PL has underscored the growing need for intelligent, data-driven orchestration across the supply chain. Simultaneously, drone-based delivery has emerged as a promising solution to last-mile challenges, particularly in urban congestion zones and infrastructure-deficient rural areas. However, current deployments of drone logistics remai... more
Open Access Article

Dynamic Evaluation of Bridges: A Case Study of the Chenab Bridge in India

Anshul Jain, Dr. Samir Patel

May 2025: 46-61 DOI: 10.55121/tdr.v3i1.541

1127 (Abstract) 885 (Download) PDF

The Chenab Bridge, located in Jammu and Kashmir, India, is the world’s highest railway arch bridge, standing 359 meters above the Chenab River with a main arch span of 467 meters. This paper presents a comprehensive dynamic evaluation of the bridge, focusing on its response to seismic, wind, and blast loads, which are critical given its location in a seismically active and windy Himalayan region. ... more
Open Access Article

Fuel Tankering Practices in Aviation and Average Origin-Airport Fuel Prices: Evidence from the Brazilian Domestic Market

Letícia Alves Tizeu, Mauro Caetano, Evandro José da Silva

May 2025: 62-71 DOI: 10.55121/tdr.v3i1.456

509 (Abstract) 468 (Download) PDF

Considered one of the most significant costs to aviation, the identification of strategies for aircraft fueling can contribute to optimizing air transportation resources. Therefore, this study investigates the practice of fuel tankering, addressing a theoretical gap resulting from the lack of comprehensive, network-wide route assessments of fuel tankering practices, as current evaluations are pred... more
Open Access Article

Structural Design and Geotechnical Analysis of the Atal Tunnel: Engineering Solutions for High-Altitude Challenges

Anshul Jain, Hridayesh Varma

May 2025: 72-81 DOI: 10.55121/tdr.v3i1.544

868 (Abstract) 1225 (Download) PDF

The Atal Tunnel, located in the Pir Panjal Range of the Himalayas in Himachal Pradesh, India, is the world’s longest highway tunnel above 10,000 feet (3,048 meters) with a length of 9.02 kilometers. This study details the tunnel’s structural components, safety features, and innovative engineering solutions, supported by data on geotechnical challenges, construction timelines, and performance metri... more
Open Access Article

Data–Driven Technology Foresight: Integrating ARIMA Forecasting and Network Analysis for Patent–Based Roadmapping in Korea’s Railway Industry

Yong-Jae Lee, Tae-Seong Lee

May 2025: 82-97 DOI: 10.55121/tdr.v3i1.572

420 (Abstract) 398 (Download) PDF

Traditional expert–driven technology foresight is often limited by subjectivity, low replicability, and high costs. To address these challenges, this study proposes a novel, data–driven framework for technology foresight that offers an objective, scalable, and multi–dimensional approach to identifying and prioritizing emerging technologies in the railway industry. Our tripartite methodology system... more

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