Analysis of Road Damage Factors Based on Vehicle Load and Volume on K.H. Zaenal Arifin Road Segment Cikulak – Cibogo

Road damage on K.H. Zaenal Arifin Cikulak–Cibogo, characterized by potholes, crocodile cracks, and flooding, disrupts traffic and safety and is exacerbated by heavy vehicle loads and poor maintenance. This study analyzes damage factors (vehicle load, traffic volume) and assesses pavement conditions to recommend repair methods. A quantitative approach with field surveys, visual documentation, and PCI analysis was employed, supported by traffic volume conversion to passenger car units (smp) and ESAL calculations. The PCI score of 42 ("fair") reflected significant damage, with ESAL values indicating excessive axle loads (407,188). The key contributors were peak traffic (1,971 vehicles/hour) and inadequate pavement thickness. The study advocates for immediate repairs (e.g., patching, 7 cm overlay) and policy interventions to regulate vehicle loads. Future research should integrate sustainable materials and dynamic load modeling.

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Publication Details

Journal
Devotion Journal of Research and Community Service
Published
2025-05-07
DOI
https://doi.org/10.59188/devotion.v6i4.25454
Primary Topic
Urban Transport Systems Analysis
Type
article
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article

Analysis of Road Damage Factors Based on Vehicle Load and Volume on K.H. Zaenal Arifin Road Segment Cikulak – Cibogo

Muhammad Susanto, Nur Solahudin
Devotion Journal of Research and Community Service
Urban Transport Systems Analysis
article

Analysis of Road Damage Factors Based on Vehicle Load and Volume on K.H. Zaenal Arifin Road Segment Cikulak – Cibogo

Muhammad Susanto, Nur Solahudin
article en

Abstract

Road damage on K.H. Zaenal Arifin Cikulak–Cibogo, characterized by potholes, crocodile cracks, and flooding, disrupts traffic and safety and is exacerbated by heavy vehicle loads and poor maintenance. This study analyzes damage factors (vehicle load, traffic volume) and assesses pavement conditions to recommend repair methods. A quantitative approach with field surveys, visual documentation, and PCI analysis was employed, supported by traffic volume conversion to passenger car units (smp) and ESAL calculations. The PCI score of 42 ("fair") reflected significant damage, with ESAL values indicating excessive axle loads (407,188). The key contributors were peak traffic (1,971 vehicles/hour) and inadequate pavement thickness. The study advocates for immediate repairs (e.g., patching, 7 cm overlay) and policy interventions to regulate vehicle loads. Future research should integrate sustainable materials and dynamic load modeling.

Devotion Journal of Research and Community ServiceVol. 6(4)
Universitas Swadaya Gunung Jati (ID)
Openalex Percentile: Top 89%
Urban Transport Systems Analysis
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