Analysis of Blackspot on National Roads in West Java Province
DOI:
https://doi.org/10.56532/mjsat.v5i3.563Keywords:
Accident Equivalent Number, ArcGIS, Blackspot , National Road , Traffic AccidentAbstract
Road accidents are one of the biggest challenges facing the transportation system and have a significant impact on the safety of road users, which is a problem that requires serious attention, especially in Indonesia, especially in West Java Province with high population density and vehicle volume. Identification of Accident Prone Locations is done based on the number of accidents and the severity of victims, so that it can be used as a basis for planning more effective transportation policies. This research analyzes the distribution of accident-prone locations on the national roads of Java Province using a quantitative approach with secondary data from the West Java Police Traffic Directorate for the period 2022 - 2024. The accident data was identified in accordance with the Guidelines for Handling Traffic Accident Prone Locations (Pd T-09-2004-B), with 133 accident-prone locations. Then it was analyzed using the Accident Equivalent Number (AEK) method to determine the weighting value of the accident location and determine the severity of the accident at each location. To calculate the accident rate limit, calculations are carried out using the Upper Control Limit (UCL) method. Locations with AEK values > UCL values amounted to 48 LRKs spread across national roads, West Java Province. The highest LRK is on Cipularang Toll Road, from KM 97B to KM 88A, located in Sukajaya, Sukatani Sub-district, Indonesia. The analysis identified the 10 highest blackspot locations, which were then presented in the form of a map showing the distribution of accident-prone locations on national roads in West Java Province. Recommendations were also made for handling the highest accident-prone locations according to the most common types of accidents, optimizing the improvement of road markings and traffic signs, and educating and enforcing traffic violations.
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