🌭 Autonomous Hot Dog Delivery Bot 🌭
📋 Project Overview
The Autonomous Hot Dog Delivery Bot is a sophisticated web application that simulates and optimizes delivery routes for hot dog deliveries in urban environments. Built with Python PyQt5 and Folium for interactive mapping, this system demonstrates advanced pathfinding algorithms with real-time visualization capabilities.
🎯 Key Features
🧠 Smart Path Planning: A* algorithm with multiple heuristic options 🗺️ Interactive Visualization: Real-time Folium map with animated bot traversal ⚡ Performance Analytics: Comprehensive heuristic comparison and metrics 🎛️ Customizable Controls: Adjustable animation speeds and delivery parameters 📊 Queue Management: Dynamic delivery status tracking (Waiting → In Progress → Delivered)
🎮 User Interface Features
Control Panel
Heuristic Selection: Toggle between Euclidean, Manhattan, and other distance metrics Animation Speed: Adjust traversal visualization (Slow → Medium → Fast) Delivery Management: Start, pause, and complete deliveries Performance Analysis: Run heuristic comparisons in real-time Visual Indicators
🟣 Purple Dot: Active delivery bot with progress percentage 🔴 Red Checkmarks: Successfully completed deliveries 🟢 Green Lines: Optimized delivery paths 🔵 Blue Markers: Pending delivery orders 🟠 Orange Highlights: Active deliveries in progress 📊 Performance Metrics
The system tracks comprehensive delivery analytics:
Path Length: Number of route segments Nodes Expanded: Computational efficiency indicator Computation Time: Algorithm performance Delivery Success Rate: System reliability
🔬 Advanced Features
Heuristic Comparison Tool
Run side-by-side performance analysis to determine the optimal heuristic for specific delivery scenarios and urban layouts.
Real-time Traversal Animation
Watch the purple delivery bot move along computed paths with live progress percentages and smooth animation transitions.
Dynamic Queue Management
Monitor delivery status through color-coded queues that update in real-time as orders progress through the delivery pipeline.
🎯 Use Cases
🏙️ Urban Food Delivery
Optimize last-mile delivery in city environments Reduce delivery times and operational costs Improve customer satisfaction with accurate ETAs 🎓 Educational Tool
Algorithm visualization and comparison Urban planning simulations Logistics and operations research 🔬 Research Platform
Heuristic performance analysis Route optimization studies Autonomous vehicle path planning 🔮 Future Enhancements
Multi-agent coordination for fleet management Real-time traffic integration for dynamic routing Machine learning for predictive delivery optimization Weather and event-based route adjustments Customer preference learning for delivery prioritization 🤝 Contributing
We welcome contributions! Areas of particular interest:
New heuristic implementations Performance optimization Additional visualization features Enhanced analytics capabilities 📄 License
MIT License - Feel free to use this project for educational and commercial purposes.
💡 Pro Tip: For optimal performance in grid-based urban environments like South Miami Beach, switch to the Manhattan heuristic in the control panel and run the heuristic comparison to see the performance improvement firsthand!
Building the future of autonomous delivery, one hot dog at a time! 🌭🤖
