Accident Prediction Modelling and Crash Scene Investigation

Abstract

In recent years, traffic incidents have been a major cause of deaths, injuries, and property damage in India. By definition, an accident is “an unforeseen and unplanned incident that causes harm or injury†; nevertheless, in most circumstances, accidents can be avoided by taking specific precautions. Understanding the primary and contributing factors may combat road traffic accident severity. This research uncovered new information as well as the most important target-specific contributing elements to the severity of road accidents. The goal of this study was to analyse accident data from Koratty and Angamaly towns in Kerala's Ernakulam district, and to identify and classify black spots into first, second, third, fourth, and fifth orders based on the ASI value and the crash scenes were investigated in order to analyze the causes. An attempt was made to design collision and condition diagrams, as well as develop an accident prediction model for these dangerous areas, using the information acquired thus far. The collision diagrams for various places also revealed the pattern of road accidents that occurred over a two-year period, while the condition diagrams revealed the precise site of the accident. Using this knowledge, certain short-term corrective measures/solutions for the crash studied sites were offered. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.