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.
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.
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.
4. Tools and Tech Stack
Language: Python
Libraries:
pygame (graphics and game loop)networkx (optional for track pathfinding)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 pygametrain_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()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.
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.
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