Analysis of Blackspots using Accident Data from Police Station A Case Study of Pracha Uthit Road between Soi Pracha Uthit 56 and Soi Pracha Uthit 98

Abstract

This research aims to analyze black spots and the factors that affect traffic accidents on roads, as well as identify weaknesses in the accident data from daily reports at the police station. A case study is Pracha Uthit Road between Soi Pracha Uthit 56 and Soi Pracha Uthit 98. Traffic accident data from 2020 to 2022 is gathered from Thung Khru metropolitan police station. The accident data is analyzed using descriptive statistics, which show 1105 cases with 13 fatalities and 999 injuries. Most of the accidents are side-impact and rear-end collisions, which accidents occurred at intersections during 6:01AM - 12:00PM and 12:01PM - 6:00PM. Motorcycles are the most commonly involved vehicle type in accidents, with a share of 49.7%. In addition, accident locations are also identified using the GIS tool to reveal recurring accidents at hazardous locations in the study area. Findings also indicate that most traffic accidents occurred within the vicinity of the intersections, which are highest at Pracha Uthit 90 intersection, and were caused by the negligence of the driver, with a share of 97.5%. The results of this study also identify problems in the accident data, which reveal that 11% of the data lack coordinates and 9.5% of the data lack vehicle trajectories during the accidents. These details are critical for in-depth accident analysis in order to assess accident factors and develop more effective solutions for road safety.