Traffic accidents are a serious challenge for the transportation system in Indonesia, especially in West Java, due to high population density and high vehicle volume, which have a significant impact on road user safety. Identification of Blackspots 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 blackspots 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 blackspots. 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 blackspots spread across national roads, West Java Province. The highest blackspotis on CipularangToll Road, 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 blackspotson national roads in West Java Province. Recommendations were also made for handling the highest blackspots according to the most common types of accidents. With this map, authorities can focus more on the most urgent mitigation measures.