Vehicle Sensor Simulation

Vehicle Sensor Simulation is a beginner-friendly Python project that simulates vehicle sensor data.
The project generates speed, engine temperature, and fuel level values, detects warning conditions, saves sensor logs to a CSV file, and creates graphs from the collected data.

Features

• Simulate vehicle speed data
• Simulate engine temperature data
• Simulate fuel level data
• Detect warning conditions
• Save sensor data logs to a CSV file
• Generate graphs from sensor data
• Create separate graphs for speed, engine temperature, and fuel level
• Beginner-friendly Python structure

Technologies Used

• Python
• CSV
• Matplotlib
• Git
• GitHub

How to Run

First, make sure Python is installed on your computer.

Install the required library:

pip install matplotlib

Run the project:

python main.py

Outputs

When the program runs, it creates:

sensor_logs.csv

and graph files inside:

outputs/graphs/

Generated graph examples:

outputs/graphs/speed_graph.png
outputs/graphs/temperature_graph.png
outputs/graphs/fuel_level_graph.png

Warning Conditions

The project generates warning messages when:

• Speed is greater than 120 km/h
• Engine temperature is greater than 100 °C
• Fuel level is lower than 15%

Project Purpose

The purpose of this project is to practice Python programming with a simple automotive-related simulation.
It focuses on:

• Random sensor data generation
• Conditional warning logic
• CSV file handling
• Data logging
• Data visualization with Matplotlib
• Basic automotive sensor simulation

Future Improvements

• Add real-time graph visualization
• Add battery level simulation
• Add dashboard interface
• Add more sensor types
• Improve warning system logic
• Add unit tests

Author

Created by Silan Karabulut
Computer Engineering Student