Road improvement is one of the efforts to enhance infrastructure quality and traffic safety. However, improved road quality does not necessarily guarantee a reduction in accident rates. This study aims to analyze the comparison and characteristics of traffic accidents before and after the improvement of Kadungora Road from KM BDG 46+235 to KM BDG 47+635, identify accident potentials based on traffic simulation, and formulate recommendations for improving traffic safety. This research employs a quantitative approach by analyzing accident data from 2020–2024 obtained from the Garut Police Traffic Unit (Satlantas Polres Garut) using the Accident Rate (AR), Equivalent Accident Number (EAN), and Fatality Rate (FR) methods. In addition, a microscopic simulation was conducted using the PTV VISSIM Student Version software to identify potential traffic accidents after the road improvement. The results show that after the improvement, the AR value decreased from 1.49 to 1.25, yet the frequency of accidents remained high. The EAN and FR values in 2024 were recorded at 310 and 86.4%, respectively. The simulation results using PTV VISSIM Student Version indicate that Segment 2 is the dominant accident-prone area, with vehicle speeds exceeding the limit—particularly motorcycles and passenger cars, which have a higher potential to cause accidents. In conclusion, road quality improvement alone, without speed control and enhanced safety facilities, is not sufficiently effective in reducing accident risks. Therefore, technical measures such as the installation of rumble strips and the maintenance of road safety elements are required to reduce speed and improve traffic safety. These findings provide a basis for more adaptive road safety planning that takes into account driver behavior following infrastructure improvements.