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22 articles

Design and Implementation of an Automated Toll Collection System

Moses Kwasi Torkudzor, Stephen Andoh Baffoe, Gabriel Senyah, Micheal Gyamfi Opoku, Yitzak Ofori, Patrick Atsu Agbemabiese

Transportation Development Research · 64-77 · 10.55121/tdr.v4i1.1139

Manual toll collection systems exacerbate traffic congestion, economic inefficiency, and environmental pollution, particularly in rapidly urbanizing regions. Several technologies were introduced over the years to address problems associated with manual toll collection. Despite these developments, challenges remain in making the

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Superelevation of Road Curves: Influence on Vehicles Fuel Consumption

Alex Coiret, Pierre-Olivier Vandanjon

Transportation Development Research · 27-39 · 10.55121/tdr.v4i1.1052

Transport systems are primarily designed to address mobility and safety concerns. Today, energy consumption must also be taken into account in infrastructure design and operation, as environmental issues and tensions in oil production continue to intensify. For road transport, infrastructure requires energy for its construction,

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A Composite Geospatial Index for Road Safety Risk: Integrating Crash Data with Roadway Characteristics

Siqing Chen

Transportation Development Research · 12-27 · 10.55121/tdr.v4i1.1024

Road traffic accidents pose significant threats to public safety and urban infrastructure. While effective safety management is a critical component of sustainable transportation planning and public health, traditional approaches often rely heavily on identifying historical crash hotspots. These reactive methods frequently fail

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Spatial Heterogeneity in the Impact of Urban Land Use on Road Traffic Carbon Dioxide Emissions

Yang Yang, Jiacheng Jiao, Xingqi Ji, Yixuan Xue, Hongliang Xia, Yinling Chen

Transportation Development Research · 105-120 · 10.55121/tdr.v3i2.1012

Road traffic has become one of the major sources of carbon dioxide emissions. However, there remains a lack of consensus on how urban land use influences these emissions. This study investigates the spatial distribution of municipal-level road traffic carbon dioxide emissions and their land use drivers in Japan’s Kanto region. O

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Last-Mile Logistics Optimization in West Africa: A Machine Learning-Driven Case Study of Ghana and Burkina Faso

Eugene Ansah Owusu Ampaw, Qin Jin, Maxwell Ako Owusu-Ampaw, Isaac Richard Malan

Transportation Development Research · 40-51 · 10.55121/tdr.v3i2.435

In Sub-Saharan Africa, the emergence of e-commerce and the rising population of cities is placing novel strain on logistics systems. The efficiency of last-mile delivery (LMD) is an important factor for improving the economic output and sustainable development of cities, particularly in fast urban development areas. This study i

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The Impact of Weather Conditions on the Number of Road Accidents in England

Piotr Gorzelańczyk, Dominique Trual Molintas

Transportation Development Research · 29-39 · 10.55121/tdr.v3i2.875

This study investigates the relationship between average monthly surface temperature and road traffic accidents in England, across ten years. Using (n = 120) on collisions, casualties, and average surface temperature, we applied descriptive statistics, Pearson and Spearman correlations, simple linear regressions, and a multivari

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From Service Quality to Loyalty: Understanding Rail Commuter Satisfaction in Greater Kuala Lumpur

Maryam Kalhoro, Hui Nee Au Yong, Charles Ramendran SPR

Transportation Development Research · 9-28 · 10.55121/tdr.v3i2.678

Rapid urbanization in Greater Kuala Lumpur has intensified automobile dependency, causing congestion and environmental concerns. Although urban rail systems are promoted as sustainable alternatives, their adoption remains limited. This study examines how service quality influences commuter loyalty and whether satisfaction mediat

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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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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

Transportation Development Research · 82-97 · 10.55121/tdr.v3i1.572

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 t

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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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