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Predictive Analysis of Accidents Based on US Accident Data Udaya Wijenayake Department of Computer Engineering University of Sri Jayewardenepura Nugegoda, Sri Lanka udayaw@sjp.ac.lkMayura Manawadu

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What is predictive analysis of accidents?

Predictive analysis of accidents refers to the statistical and analytical techniques used to identify patterns and trends in accident data, enabling the forecasting of potential future incidents and the implementation of safety measures to reduce the likelihood of their occurrence.

Who is required to file predictive analysis of accidents?

Typically, organizations and businesses that manage transportation, logistics, or have occupational health responsibilities are required to file predictive analysis of accidents to comply with regulatory requirements and improve workplace safety.

How to fill out predictive analysis of accidents?

To fill out a predictive analysis of accidents, one should collect relevant data on past accidents, analyze the data for trends, generate a report outlining the analysis, and submit the findings in accordance with prescribed formats from regulatory authorities.

What is the purpose of predictive analysis of accidents?

The purpose of predictive analysis of accidents is to enhance safety by identifying risk factors and trends, preventing future incidents, and minimizing the impact of accidents through informed decision-making.

What information must be reported on predictive analysis of accidents?

Information that must be reported includes the frequency and types of accidents, contributing factors, demographics of affected individuals, geographical data, and any recommended safety improvements.

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