Chrysanthemum: Autonomous Vehicle Crash Analysis 🚗

This project involves the detailed analysis and visualization of crashes involving vehicles equipped with automated driving systems (ADS), based on data provided by the NHTSA (National Highway Traffic Safety Administration).

👥 Project Team

• Bengisu ÖZBİLEN
• Ferhat ARSLAN

📊 Project Summary

Using data collected under NHTSA's Permanent General Order, accidents involving vehicles equipped with automated driving systems or SAE Level 2 advanced driver assistance systems were examined.

The objectives of this study are:

• To identify safety concerns regarding ADS technologies,
• To analyze accident densities geographically and temporally,
• To make safety inferences based on brand and model.

🛠️ Technologies and Libraries Used

The project was prepared in Quarto format using the R programming language.

• Data Processing: tidyverse, readxl, dplyr
• Visualization: ggplot2, ggthemes, ggpubr, maps
• Reporting: kableExtra, flextable, skimr

🔎 Key Findings

1. Location Analysis: The highest number of accidents occurred in the city of San Francisco, California. This is due to population density and the frequency of ADS testing in this area.
2. Time Analysis: It has been observed that automated driving systems perform inefficiently during times of light transition, such as evening darkness and dawn.
3. Brand Analysis: The brands with the most reported accidents in the data set were found to be Jaguar and Cruise.
4. Road Surface Conditions: Accident rates for vehicles on wet and dry surfaces were examined, and the effect of road surface was analyzed.

📂 Setup and Execution

To run this project on your own computer:

1. Clone this repository:

   git clone https://github.com/KULLANICI_ADINIZ/Krizantem.git