Analisis Titik Lokasi Kecelakaan di Ruas Jalan Tol Palimanan – Kanci

Traffic accidents on toll roads, including the Palimanan – Kanci (Palikanci) Toll Road, are a major concern due to high vehicle volume and other factors such as driver fatigue, weather conditions, and compliance with traffic regulations. This study aims to identify accident-prone locations and formulate mitigation measures. The research employs a quantitative analysis method using both primary and secondary data. Based on accident location identification for the Palimanan – Kanci Toll Road from 2022 to 2024, using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) methods per 1 km, 11 accident-prone locations were identified. However, two locations had the highest accident rates: Lane A at KM 210 – 211 and Lane B at KM 195 – 196. The most common cause of accidents was driver inattention and drowsiness, with the predominant accident type being rear-end collisions. The result of this study can serve as a reference for mitigation efforts to reduce accidents on the Palimanan – Kanci Toll Road.

Authors

Publication Details

Journal
VISA Journal of Vision and Ideas
Published
2025-05-01
DOI
https://doi.org/10.47467/visa.v5i2.7160
Primary Topic
Urban Transport Systems Analysis
Type
article
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article

Analisis Titik Lokasi Kecelakaan di Ruas Jalan Tol Palimanan – Kanci

Shiska Wahyu Widyaningrum, Silvia Afida Fahmi, Ali Fadillah, Daffa Ramadhan Eka Budiyanto et al.
VISA Journal of Vision and Ideas
Urban Transport Systems Analysis
article

Analisis Titik Lokasi Kecelakaan di Ruas Jalan Tol Palimanan – Kanci

Shiska Wahyu Widyaningrum, Silvia Afida Fahmi, Ali Fadillah, Daffa Ramadhan Eka Budiyanto, Ahmad Basuki
article en

Abstract

Traffic accidents on toll roads, including the Palimanan – Kanci (Palikanci) Toll Road, are a major concern due to high vehicle volume and other factors such as driver fatigue, weather conditions, and compliance with traffic regulations. This study aims to identify accident-prone locations and formulate mitigation measures. The research employs a quantitative analysis method using both primary and secondary data. Based on accident location identification for the Palimanan – Kanci Toll Road from 2022 to 2024, using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) methods per 1 km, 11 accident-prone locations were identified. However, two locations had the highest accident rates: Lane A at KM 210 – 211 and Lane B at KM 195 – 196. The most common cause of accidents was driver inattention and drowsiness, with the predominant accident type being rear-end collisions. The result of this study can serve as a reference for mitigation efforts to reduce accidents on the Palimanan – Kanci Toll Road.

VISA Journal of Vision and IdeasVol. 5(2)
Openalex Percentile: Top 91%
Urban Transport Systems Analysis
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Analisis Titik Lokasi Kecelakaan di Ruas Jalan Tol Palimanan – Kanci — Shiska Wahyu Widyaningrum, Silvia Afida Fahmi, et al. · VISA Journal of Vision and Ideas (2025) | TGRS Research Map | TGRS