Python
Machine Learning
2023
ID: 1CP0702
Prediction of Traffic Accidents Severity Using Machine Learning Algorithms
Keywords:
Traffic
Accident
Severity,
Machine
Learning,
SMOTENC,
Random
Forest,
Feature
Selection,
Exploratory
Data
Analysis,
Road
Safety,
Classification
Project Synopsis & Overview
This project predicts the severity of road traffic accidents using machine learning algorithms in Python. Accident data on road conditions, vehicles, drivers, and time is preprocessed, analyzed, and balanced with SMOTENC, with features selected by Mutual Information and Chi-Square. Random Forest, Decision Tree, Logistic Regression, SVM, and KNN are compared using accuracy and F1-score, helping emergency services prioritize responses quickly.
Complete Technical Specifications
| Project ID | 1CP0702 (DB ID: 702) |
| Project Title | Prediction of Traffic Accidents Severity Using Machine Learning Algorithms |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 13, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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