README.md

# Traffic Flow Dataset

<!--
Project: Traffic Flow Dataset
Website: https://rskworld.in
Contact: help@rskworld.in, support@rskworld.in
Phone: +91 93305 39277
Founder: Molla Sameer
Designer & Tester: Rima Khatun
-->

Urban traffic flow dataset with vehicle counts, speed measurements, and congestion patterns for traffic prediction and smart city applications.

## 📋 Description

This dataset includes traffic flow measurements with vehicle counts, average speeds, congestion levels, and temporal patterns. Perfect for traffic prediction, congestion forecasting, and intelligent transportation systems.

## ✨ Features

- **Vehicle Counts**: Detailed vehicle count data across multiple time periods
- **Speed Measurements**: Average speed data for traffic flow analysis
- **Congestion Patterns**: Traffic congestion level indicators and patterns
- **Multiple Locations**: Data collected from various traffic monitoring points (Downtown, Highway, City Center, Suburbs, Airport)
- **Time Series Format**: Structured time series data for analysis

## 📊 Dataset Information

- **Format**: CSV, JSON
- **Category**: Time Series Data
- **Difficulty**: Intermediate
- **Technologies**: CSV, JSON, Pandas, Time Series, Python, Data Visualization

### Dataset Structure

The dataset contains the following columns:

- `timestamp`: Date and time of the measurement
- `location`: Location where the measurement was taken
- `vehicle_count`: Number of vehicles observed
- `avg_speed_kmh`: Average speed in kilometers per hour
- `congestion_level`: Level of congestion (Low, Medium, High)
- `road_type`: Type of road (Urban, Highway, Suburban)
- `direction`: Direction of traffic flow (North, South, East, West)

## 📁 Files

- `traffic_flow_data.csv`: Main dataset in CSV format
- `traffic_flow_data.json`: Dataset in JSON format
- `analyze_traffic_flow.py`: Python script for data analysis
- `index.html`: Interactive web visualization
- `requirements.txt`: Python dependencies

## 🚀 Getting Started

### Prerequisites

- Python 3.7 or higher
- pip package manager

### Installation

1. Clone or download this repository
2. Install required dependencies:

```bash
pip install -r requirements.txt
```

### Usage

#### Python Analysis

Run the analysis script to generate insights and visualizations:

```bash
python analyze_traffic_flow.py
```

This will:
- Load and analyze the traffic flow data
- Generate basic statistics
- Perform location-based analysis
- Analyze time-based patterns
- Create visualizations
- Export summary reports

#### Web Visualization

Open `index.html` in your web browser to view the interactive dashboard with charts and data tables.

#### Data Files

- **CSV**: Use with pandas, Excel, or any spreadsheet application
- **JSON**: Use for web applications, APIs, or other programming languages

## 📈 Analysis Examples

The included Python script provides several analysis functions:

- **Basic Statistics**: Overview of the dataset
- **Location Analysis**: Traffic patterns by location
- **Time Analysis**: Traffic patterns by time of day
- **Congestion Analysis**: Congestion level patterns
- **Correlation Analysis**: Relationships between variables
- **Visualizations**: Charts and graphs for data exploration

## 🛠️ Technologies Used

- **Python**: Programming language
- **Pandas**: Data manipulation and analysis
- **Matplotlib**: Data visualization
- **Seaborn**: Statistical data visualization
- **Chart.js**: Interactive web charts
- **HTML/CSS/JavaScript**: Web interface

## 📝 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

This dataset and all associated code are provided for educational and research purposes, and are free for both personal and commercial use.

## 👥 Credits

**RSK World** - Free Programming Resources & Source Code

- **Website**: [https://rskworld.in](https://rskworld.in)
- **Contact Email**: help@rskworld.in, support@rskworld.in
- **Phone**: +91 93305 39277
- **Founder**: Molla Sameer
- **Designer & Tester**: Rima Khatun

## 🔗 Links

- **Demo**: [View Demo](./index.html)
- **Dataset Download**: [traffic-flow.zip](./traffic-flow.zip)
- **Website**: [https://rskworld.in](https://rskworld.in)

## 📧 Contact

For questions, suggestions, or support, please contact:

- **Email**: help@rskworld.in, support@rskworld.in
- **Phone**: +91 93305 39277
- **Website**: https://rskworld.in

---

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