iRAD/eDAR Data Quality and Structured Crash Investigation using Root Cause Analysis Matrix (RCAM) for Tambaram Police

In 2022, the country reported a total of 4,61,312 road accidents, resulting in 1,68,491 fatalities and injuries to 4,43,366 individuals. To address this issue, it’s important to identify the causes and possible preventive actions for such accidents by collecting and analysing road crash information.

A comprehensive road crash investigation involves a scientific process that includes the collection, recording, analysis, and reporting of information. It goes beyond identifying the cause of an accident and delves into system failures, potential risks, and future accident prevention strategies.

In addition, the CoERS (Centre of Excellence for Road Safety) has introduced the Root Cause Analysis Matrix (RCAM) which adopts a data-driven systems approach to evaluate and identify the underlying causes of road traffic crashes, including institutional failures. By adopting this macroscopic perspective, stakeholders are empowered to make informed, data-driven decisions and effectively address the root causes of road crashes.

Recognising the need to train Officers to perform scientific road crash investigations, CoERS conducted a series of workshops on data quality for iRAD/eDAR and structured crash investigation using the RCAM for the Traffic Investigation Wing of the Tamabaram Police. The three-day workshop consisting of intensive training took place from 18 to 21 October 2024 at the IIT Madras campus.