Simulations Module: AI Training and Route Optimization

The Simulations module is a core component of the mymetro project, designed to train our AI using self-generated metro pathways. This module enables real-time learning and optimization of metro routes by simulating diverse network scenarios, ensuring the AI can adapt to various conditions and continuously improve route efficiency.

Key Components

1. Self-Generated Metro Paths

   • Function: Automatically create diverse and realistic metro network scenarios.

   • Purpose: Provide varied training data for the AI to learn from different network topologies and

2. AI Training Engine

   • Function: Utilize machine learning models to analyze simulated data.

   • Purpose: Forecast passenger flow and predict congestion, informing the route optimization process.

3. Ant Colony Optimization (ACO) Algorithm

   • Function: Implement ACO to identify the most efficient routes based on AI predictions.

   • Purpose: Enhance route selection by simulating pheromone trails to discover optimal paths through the metro network.

4. Performance Monitoring

   • Function: Track the performance and effectiveness of AI-driven optimizations.

   • Purpose: Ensure continuous improvement and adaptability of the route optimization algorithms.

Process Flow

1. Simulation Setup

   • Define parameters and generate metro network scenarios.

   • Create various network topologies with different numbers of lines and stations.

2. Data Ingestion

   • Collect data from self-generated simulations, including passenger flow and network conditions.

   • Process and prepare data for AI analysis.

3. AI Training

   • Train machine learning models on the simulated data to predict congestion and passenger distribution.

   • Continuously update models with new simulation data to enhance accuracy.

4. Route Optimization

   • Apply Ant Colony Optimization algorithms using AI-generated predictions.

   • Determine the most efficient routes based on real-time data and AI insights.

5. Performance Evaluation

   • Monitor key metrics such as average travel time and route efficiency.

   • Generate reports to assess the effectiveness of optimizations and identify areas for improvement.