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5 articles

Article

Open AccessPublished: 9 August 2024

Operational and Policy-Related Data Assessment and Recommendations from Review-based Analysis of Autonomous Shuttle Deployments

Dil Samina Diba, Srinivas Pulugurtha

Transportation Development Research · 1-14 · 10.55121/tdr.v2i1.130

The advent of driverless technology and supporting infrastructure has enabled the implementation of autonomous shuttles for enhancing mobility and providing first and last-mile (F & LM) connectivity. These shuttles have been employed to address short-distance travel needs, serve internal transportation needs, and cater to specif

Graphical abstract for Operational and Policy-Related Data Assessment and Recommendations from Review-based Analysis of Autonomous Shuttle Deployments

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Article

Open AccessPublished: 30 June 2025

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

Tejinder Singh Lakhwani

Transportation Development Research · 27-45 · 10.55121/tdr.v3i1.449

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-defici

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Article

Open AccessPublished: 17 June 2025

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

Qutaiba Ibrahim Ali, Hussein M. Mohammed

Transportation Development Research · 1-13 · 10.55121/tdr.v3i1.426

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, a

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Article

Open AccessPublished: 20 May 2025

AI-Based Train Localization Using Railway Infrastructure Object Detection

Vladimir A. Fedorov

Transportation Development Research · 1-11 · 10.55121/tdr.v2i2.379

This paper presents an Artificial Intelligence (AI)-based approach to train localization through the detection of railway infrastructure objects using convolutional neural networks. The proposed system identifies key visual landmarks such as traffic lights, level crossings, tunnels, bridges, and passenger platforms directly from

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Article

Open AccessPublished: 9 August 2024

European Common Data Management Platform Definition for Railway AI Function Development

Mikel Labayen, Daniel Ochoa de Eribe, Ander Aramburu, Marcos Nieto, Naiara Aginako

Transportation Development Research · 15-26 · 10.55121/tdr.v2i1.143

Digitalisation and automation of operations in the railway industry include the use of Automatic Train Operation systems that provide automated functions to reach different levels of automation, known as the Grade of Automation (GoA) levels. These levels go up to GoA4 in which the train is automatically controlled without any st

Graphical abstract for European Common Data Management Platform Definition for Railway AI Function Development

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