🚦 Smart Traffic Management System

A modern, cross-platform intelligent traffic management solution built with Kotlin Multiplatform, designed to optimize traffic flow, reduce congestion, and improve urban mobility through real-time monitoring and adaptive signal control.

📋 Overview

The Smart Traffic Management System leverages cutting-edge technology to create an intelligent, adaptive traffic control infrastructure. By utilizing real-time data analysis, computer vision, and machine learning, this system dynamically adjusts traffic signals to minimize congestion, reduce wait times, and prioritize emergency vehicles.

🎯 Key Objectives

Real-time Traffic Monitoring: Continuous surveillance and analysis of traffic conditions
Adaptive Signal Control: Dynamic adjustment of traffic light timings based on current conditions
Emergency Vehicle Priority: Automatic detection and prioritization of emergency vehicles
Congestion Reduction: Intelligent algorithms to minimize traffic jams and optimize flow
Cross-Platform Support: Unified codebase for Android, iOS, Desktop, and Server applications

✨ Features

🚗 Traffic Management Core

Real-time Vehicle Detection: AI-powered vehicle counting and classification
Density Analysis: Calculate congestion coefficients at intersections
Adaptive Timing: Dynamic traffic light duration based on traffic density
Emergency Override: Priority green lights for ambulances, fire trucks, and police vehicles

📊 Monitoring & Analytics

Live Dashboard: Real-time visualization of traffic conditions
Traffic Statistics: Historical data analysis and trend reporting
Congestion Heatmaps: Visual representation of traffic hotspots
Performance Metrics: System efficiency and improvement tracking

🌐 Multi-Platform Support

Mobile Apps (Android & iOS): Traffic monitoring and alerts for citizens
Desktop Application: Admin control panel for traffic operators
Server Backend: Centralized data processing and API services
Web Dashboard: Browser-based monitoring and configuration

🔔 Smart Notifications

Traffic Alerts: Real-time congestion notifications
Route Suggestions: Alternative route recommendations
Incident Reports: Accident and roadblock alerts
System Status: Traffic light status updates

🏗️ Architecture

The project follows a clean, modular architecture using Kotlin Multiplatform:

Smart-Traffic-Management-System/
├── composeApp/              # Shared Compose Multiplatform UI
│   ├── commonMain/          # Common UI code
│   ├── androidMain/         # Android-specific UI
│   ├── iosMain/             # iOS-specific UI
│   └── desktopMain/         # Desktop-specific UI
│
├── iosApp/                  # iOS application entry point
│   └── iosApp/              # SwiftUI integration layer
│
├── server/                  # Ktor server application
│   ├── routes/              # API endpoints
│   ├── services/            # Business logic
│   └── database/            # Data persistence
│
├── shared/                  # Shared business logic
│   ├── commonMain/          # Platform-independent code
│   │   ├── domain/          # Business models & use cases
│   │   ├── data/            # Repositories & data sources
│   │   └── utils/           # Common utilities
│   ├── androidMain/         # Android-specific implementations
│   ├── iosMain/             # iOS-specific implementations
│   └── jvmMain/             # JVM/Desktop implementations
│
└── gradle/                  # Build configuration

🔧 Technology Stack

Shared Layer

Kotlin Multiplatform: Cross-platform code sharing
Kotlinx Coroutines: Asynchronous programming
Kotlinx Serialization: JSON serialization
Ktor Client: HTTP networking
SQLDelight: Cross-platform database
Koin: Dependency injection

Android

Jetpack Compose: Modern declarative UI
Material Design 3: Design system
CameraX: Camera integration
ML Kit: On-device machine learning

iOS

SwiftUI: Native iOS UI framework
CoreML: Machine learning integration
Vision Framework: Image analysis

Desktop

Compose for Desktop: Desktop UI
JavaFX: Additional UI components (if needed)

Server

Ktor: Kotlin web framework
PostgreSQL: Relational database
WebSockets: Real-time communication
JWT: Authentication

🚀 Getting Started

Prerequisites

JDK 17 or higher
Android Studio Hedgehog (2023.1.1) or later
Xcode 15+ (for iOS development on macOS)
Kotlin 1.9.20+
Gradle 8.0+

Installation

Clone the repository

git clone https://github.com/Alims-Repo/Smart-Traffic-Management-System.git
cd Smart-Traffic-Management-System

Build the project
```
./gradlew build
```
Run on different platforms

Android:
```
./gradlew :composeApp:installDebug
```
Or open the project in Android Studio and run the app.

iOS:
```
cd iosApp
xcodegen generate
open iosApp.xcodeproj
```
Then build and run from Xcode.

Desktop:
```
./gradlew :composeApp:run
```
Server:
```
./gradlew :server:run
```

📱 Platform-Specific Features

Android Application

Real-time traffic camera feeds
Navigation integration with Google Maps
Background location tracking
Push notifications for traffic alerts

iOS Application

Native iOS design patterns
Apple Maps integration
Background app refresh
Local notifications

Desktop Application

Multi-monitor support
Advanced analytics dashboards
System administration tools
Bulk data export/import

Server Backend

RESTful API
WebSocket real-time updates
Authentication & authorization
Database management
Traffic prediction algorithms

🔌 API Documentation

Base URL

http://localhost:8080/api/v1

Endpoints

Traffic Monitoring

GET    /traffic/status           # Get current traffic status
GET    /traffic/intersections    # List all intersections
GET    /traffic/intersection/:id # Get specific intersection data
POST   /traffic/report           # Report traffic incident

Signal Control

GET    /signals                  # Get all traffic signals
GET    /signals/:id              # Get specific signal
PUT    /signals/:id/timing       # Update signal timing
POST   /signals/:id/override     # Emergency override

Analytics

GET    /analytics/traffic-flow   # Traffic flow statistics
GET    /analytics/congestion     # Congestion reports
GET    /analytics/predictions    # Traffic predictions

🤝 Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

Development Guidelines

Follow Kotlin coding conventions
Write unit tests for new features
Update documentation as needed
Ensure all platforms build successfully

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👥 Authors

Alims-Repo

GitHub: @Alims-Repo

🙏 Acknowledgments

Kotlin Multiplatform community
JetBrains for excellent tooling
Open source contributors
Traffic management research community

📞 Contact & Support

For questions, suggestions, or support:

Open an issue on GitHub
Email: sourav.0.alim@gmail.com

📚 Learn More

_{Built with ❤️ using Kotlin Multiplatform}

Name		Name	Last commit message	Last commit date
Latest commit History 85 Commits
.fleet		.fleet
.github/workflows		.github/workflows
.vscode		.vscode
composeApp		composeApp
database		database
detection		detection
docs		docs
gradle		gradle
images		images
iosApp		iosApp
report		report
server		server
shared		shared
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
build.gradle.kts		build.gradle.kts
docker-compose.yml		docker-compose.yml
gradle.properties		gradle.properties
gradlew		gradlew
gradlew.bat		gradlew.bat
settings.gradle.kts		settings.gradle.kts

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