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7 articles

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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A Data-Driven Framework for Short-Term Bus Arrival Time Prediction Integrating AVL, AFC, and Weather Data

Farid Sadeghi Ghazijahani, Behnam Vafaeimehr, Abdolreza Sheikholeslami, Amirhossein Baghestani, Shahin Hassani

Transportation Development Research · 1-25 · 10.55121/tdr.v4i2.101575

Accurate prediction of bus arrival times is vital for improving the reliability, efficiency, and user satisfaction of urban public transportation systems. However, unpredictable service can discourage ridership, undermine system equity, and hinder progress toward sustainable urban mobility. This study presents a comprehensive an

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Insights Gained from Weather Extremes and Health Crises in Strengthening Mass Transit Durability

Anshul Jain, Hridayesh Varma

Transportation Development Research · 90-108 · 10.55121/tdr.v4i1.1072

Mobility networks worldwide face escalating challenges from climate-induced environmental shifts and major disruptions such as the global COVID-19 pandemic. This scoping review investigates the resilience of public transport systems through a structured 4R framework—robustness (strength), redundancy (alternatives), resourcefulne

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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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Dynamic Assessment of Tunnels Subjected to Moving Train Loads (Case Study: Tunnel of Tehran Subway Line 3)

Morteza Nasirivand Aghabagher, Farhad Samimi Namin

Transportation Development Research · 39-54 · 10.55121/tdr.v2i2.252

The expansion of urban populations necessitates improvements in construction and the development of urban infrastructure. The creation of subway tunnels in urban centers has consistently faced considerable challenges and constraints. This study specifically focuses on one such issue: the intersection of subway lines with existin

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

Anshul Jain, Hridayesh Varma

Transportation Development Research · 72-81 · 10.55121/tdr.v3i1.544

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

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