Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
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This Author published in this journals
All Journal Journal of Artificial Intelligence and Digital Business
Candra, Bangkit Yanuar Yularso
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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The Relationship Between Road Capacity and Road Level of Service: A Systematic Review of Recent Studies Sembada, Abdi; Candra, Bangkit Yanuar Yularso; Ginting, Rio Refelino; Heryadiana, Asep Dian; Isradi, Muhammad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1249

Abstract

This study presents a systematic review of recent literature that explores the relationship between road capacity and level of service (LOS), two critical components in transportation engineering and urban planning. As traffic volumes continue to grow in urban environments, understanding how road capacity impacts service quality is essential for improving mobility, reducing congestion, and planning sustainable transportation systems. The review synthesizes findings from multiple peer-reviewed sources, focusing on key methodologies, variables, and evaluation criteria used to assess capacity and LOS in different contexts. In addition to traditional analytical frameworks, this study incorporates a bibliometric analysis using VOSviewer to visualize keyword connections and research trends. The results reveal that evaluation methods, road geometry, and strategic design are dominant themes in literature, while gaps remain in studies integrating real-time data and behavioral factors. This research contributes to the field by mapping current knowledge, identifying emerging research directions, and offering insights for future transportation policy and infrastructure development efforts.
A Systematic Review of Geometric Road Design Evaluation Methods with AutoCAD Civil 3D Applications: Tinjauan Sistematis Metode Evaluasi Desain Geometris Jalan dengan Aplikasi AutoCAD Civil 3D Candra, Bangkit Yanuar Yularso; Heryadiana, Asep Dian; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1414

Abstract

Geometric road design is fundamental to the development of efficient, safe, and sustainable transportation systems. In recent years, the application of digital tools, particularly AutoCAD Civil 3D, has significantly improved the accuracy and efficiency of road design processes. This systematic review investigates evaluation methods for geometric road design published between 2020 and 2025, with a focus on the use of AutoCAD Civil 3D as a primary tool. The review synthesizes findings from peer-reviewed journals, highlighting how Civil 3D has been applied in tasks such as horizontal and vertical alignment analysis, cross-section modeling, and corridor development. Results indicate that AutoCAD Civil 3D not only streamlines the design workflow but also supports better decision-making through three-dimensional visualization and real-time data integration. However, the review also identifies several limitations, including software complexity, the need for specialized training, and challenges in interoperability with other systems. Overall, this study emphasizes the critical role of AutoCAD Civil 3D in modern road design evaluation and encourages the adoption of standardized methodologies and continuous professional development to optimize its application in transportation infrastructure planning
Co-Authors Ginting, Rio Refelino HERYADIANA, ASEP DIAN Muhammad Isradi Prasetijo, Joewono Sembada, Abdi