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Creating a full blueprint for a Train Game with AI includes game design, logic, AI behavior, and code structure. I’ll outline the blueprint first, then provide a basic version of the game using Python and Pygame with simple AI for train routing.

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Train Game with AI – Full Blueprint

1. Game Overview

• Genre: Simulation / Strategy
• Goal: Manage trains on tracks, avoid collisions, and optimize travel time.
• AI Purpose: Route planning, collision avoidance, and scheduling.

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2. Core Features

• Multiple trains and tracks.
• Stations where trains pick up/drop off.
• AI that controls train speed and routing.
• Signals and switches on the track.
• Score based on successful deliveries and time.

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3. AI Components

• Pathfinding: Use A* algorithm for shortest path.
• Decision-Making: Heuristics or rule-based system for speed control and collision avoidance.
• Scheduling: Simple priority queues or reinforcement learning for advanced logic.

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4. Tools and Tech Stack

• Language: Python
• Libraries:
  • pygame (graphics and game loop)
  • networkx (optional for track pathfinding)

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5. Code Example: Basic Train Game with AI (Python + Pygame)

This is a basic version. Let me know if you want a web version (JS/React).

Install Dependencies

pip install pygame

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train_game.py

import pygame
import random
import math

pygame.init()

WIDTH, HEIGHT = 800, 600
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("AI Train Game")

clock = pygame.time.Clock()

# Colors
WHITE = (255, 255, 255)
GRAY = (180, 180, 180)
RED = (255, 0, 0)
GREEN = (0, 255, 0)

# Station positions
stations = [(100, 100), (700, 100), (700, 500), (100, 500)]

class Train:
    def __init__(self, x, y, dest):
        self.x = x
        self.y = y
        self.speed = 2
        self.dest = dest
        self.radius = 10
        self.color = RED

    def draw(self):
        pygame.draw.circle(screen, self.color, (int(self.x), int(self.y)), self.radius)

    def move_towards(self):
        dx = self.dest[0] - self.x
        dy = self.dest[1] - self.y
        dist = math.hypot(dx, dy)
        if dist < 1:
            return True
        self.x += self.speed * dx / dist
        self.y += self.speed * dy / dist
        return False

class AIManager:
    def __init__(self, trains):
        self.trains = trains

    def update(self):
        for train in self.trains:
            reached = train.move_towards()
            if reached:
                train.dest = random.choice(stations)

def draw_track():
    for i in range(len(stations)):
        pygame.draw.line(screen, GRAY, stations[i], stations[(i + 1) % len(stations)], 5)

def main():
    running = True
    trains = [Train(100, 100, (700, 100)), Train(700, 500, (100, 500))]
    ai = AIManager(trains)

    while running:
        screen.fill(WHITE)
        draw_track()

        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                running = False

        ai.update()

        for train in trains:
            train.draw()

        pygame.display.flip()
        clock.tick(60)

    pygame.quit()

if __name__ == "__main__":
    main()

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6. Next Features You Can Add

• Train collisions with detection and response.
• Pathfinding with switches.
• Multiple train priorities.
• AI using reinforcement learning (like Q-learning).
• UI with train management tools.

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Would you like this as a full game project with a menu, levels, or maybe a web version with JS? I can also help you make an advanced AI system for train scheduling.