Road-Way Application

Team AISLE

Road-Way is a route optimization application developed by Team Aisle to efficiently manage and optimize traffic routes. The primary focus of Road-Way is to minimize travel time and congestion, ensuring smooth traffic flow for various transportation needs.

Features

• Route Optimization: Intelligent algorithms to provide the shortest and most efficient routes.
• Real-Time Traffic Updates: Incorporation of real-time traffic data to adjust routes dynamically.
• User-Friendly Interface: Easy-to-use interface for both drivers and administrators.
• Performance Analytics: Insights into route performance for data-driven decision-making.
• Safety and Efficiency: Ensures the safest and most efficient routes through advanced machine learning techniques.

Installation

1. Clone the Repository

   git clone https://github.com/TeamAisle/Road-Way.git
   

2. Navigate to the Project Directory

   cd Road-Way
   

3. Setup Virtual Environment

   python -m venv env
   source env/bin/activate   
   

4. Install Dependencies

   pip install -r requirements.txt  
   

5. Run the Application

   python app.py
   

Team Roles

• Astha: Frontend Development

  • Astha leads the development of the user interface, ensuring an intuitive and responsive experience using React, HTML, and CSS.

• Lamin: Algorithm Development

  • Lamin develops and optimizes machine learning algorithms using Google Colab and Python for route optimization and performance enhancement.

• Sneha: Backend Development

  • Sneha handles the development of backend services using Python and Flask to power the application’s core functionalities.

• Sonu: Backend Integration

  • Sonu oversees the seamless integration of backend components, ensuring smooth operation and effective data management.

Usage

• Input Locations: Enter origin and destination to generate optimized routes that reduce travel time and congestion.
• Minimize Traffic: Optimize routes to avoid high-traffic areas, improving overall traffic flow.
• Environmentally Friendly: Reduce CO₂ emissions by minimizing unnecessary travel and fuel consumption.
• Fuel Efficiency: Help users save fuel and promote more sustainable driving practices.
• View Routes: Display optimized routes with real-time traffic updates for a seamless navigation experience.
• Admin Features: Admins have the capability to manage data, monitor system performance, and implement updates to enhance sustainability and reduce CO₂ emissions.

Deployment

The Road-Way application is designed to be run locally on machines or servers. There are no additional external services required for deployment. The backend service and algorithms are directly integrated into a Python environment, ensuring seamless operation for end-users. Data is stored in a PostgreSQL database, making it easy to manage and query necessary information.

Contributing

Contributions are welcome! Please read CONTRIBUTING.md for guidelines on how to contribute.

License

This project is licensed under the MIT License.