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Lokeshwaran S
Chennai, Tamil Nadu
Blackspots of Accident Locations on Indian Roads
Analyzing Indian road accidents using GIS and Ministry of Road Transport data (up to 2021). Identifies hotspots, patterns, and high-risk areas for informed road safety strategies by policymakers, law enforcement, and urban planners to reduce accidents and enhance safety. ...learn more
Project status: Concept
Overview / Usage
Overview
The project involves a comprehensive analysis of road accidents in India using Geographic Information System (GIS) software and data from the Ministry of Road Transport and Highways (MoRTH). The study focuses on the spatial distribution of accidents, examining patterns, hotspot areas, and high-risk zones across the country. By utilizing the most recent accident statistics up to 2021, the project aims to identify key causes of accidents and provide valuable insights for crafting effective strategies to enhance road safety. The target audience for the study includes policymakers, law enforcement personnel, and urban planners who can utilize the findings to implement targeted measures for accident prevention and overall improvement of road safety conditions.
Methodology / Approach
These are the methodologies and technologies that are used to solve this problem.
1)Data Collection
2)Data Integration
3)Spatial Analysis (GIS Technology)
4)Predictive Modeling (Machine Learning)
Technologies Used
Here the technology used is QGIS - Quantum Geographic Information System and Coordinates tracking.
QGIS (Quantum GIS) is an open-source Geographic Information System software used for spatial data analysis and mapping. It provides tools to create, edit, visualize, and analyze geospatial data, enabling users to understand patterns, relationships, and trends in geographical information.
Documents and Presentations
Repository
https://github.com/lokeshwaran173/intelunnati_-New-Floraison-