Navigo: Dynamic Logistics Optimization Platform

Overview

This platform is a smart logistics and delivery optimization system designed to minimize carbon emissions, optimize delivery routes, and improve efficiency. By leveraging modern technologies such as machine learning, advanced algorithms, and sustainability-focused analytics, it caters to companies aiming for cost-effective and eco-friendly logistics solutions.

Key Features

1. Dynamic Route Optimization

   • Statistical optimization.
   • ML-based optimization trained on historical data.
   • Driver ranking for familiarity and performance.

2. Carbon Emission Reduction

   • Emission estimation using the COPERT model.
   • EV-friendly features, such as dynamic charging recommendations.

3. Multi-Destination and Priority Travel

   • Supports complex deliveries with priority-based travel for perishable or high-value goods.

4. Driver Behavior Analytics

   • Track driver performance, eco-driving habits, and suspicious activities.

5. Collaborative Delivery Optimization

   • Partnerships with other companies for shared logistics.

6. Modes of Transport

   • Optimized routing across road, train, plane, and ship.

7. Visualization

   • Carbon footprint visualization.
   • Air quality impact insights.
   • Downloadable sustainability scorecard.

8. AI-Driven Personalization

   • Custom recommendations for efficiency and sustainability.

Workflow

1. User Input

   • Source and destination.
   • Vehicle details: fuel type, mileage, weight, priority, perishable goods, desired time window.

2. Route Optimization

   • Algorithms for fastest, cheapest, or lowest-emission routes.
   • ACO Algorithm with traffic, weather, and road closure considerations.

3. Visualization and Reporting

   • Real-time carbon footprint and air quality impact visualization.
   • Downloadable sustainability scorecard.

4. Driver Analytics

   • Monitor driver behavior and flag suspicious activities.

5. Collaboration

   • Shared logistics for cost and emission reductions.

Website Structure

1. Home Page

   • Highlights key features and benefits.
   • Call-to-action buttons.

2. Driver Analytics

   • Track driver details, performance, and suspicious activities.

3. Collaboration

   • Enables companies to partner for delivery optimization.

4. Report

   • Generate and download comprehensive reports.

Installation

1. Clone the repository:

   git clone https://github.com/your-repo-name.git

2. Navigate to the project directory:

   cd logistics-optimization-platform

3. Create a virtual environment:

   python3 -m venv env
   source env/bin/activate  # On Windows: env\Scripts\activate

4. Install dependencies:

   pip install -r requirements.txt

5. Run the application:

   flask run

6. Open the application in your browser:

   http://127.0.0.1:5000
   

Future Enhancements

• Integration with drones and autonomous vehicles.
• Real-time traffic light communication.
• Social impact analytics for communities.
• Voice navigation and AR route guidance.