Back to Portfolio
algorithms

Advanced Multi-Agent Pathfinding System

A multi-agent pathfinding system that simulates complex urban mobility scenarios with dynamic obstacles, terrain types, traffic management, and weather conditions.

Challenge

Design a pathfinding system capable of handling multiple agents with different priorities, dynamic obstacles, and varying terrain conditions while maintaining efficient routing and collision avoidance.

Solution

Implemented an advanced A* algorithm with real-time path replanning, traffic management, and weather impact simulation. The system uses asynchronous processing for efficient multi-agent coordination.

Implementation

  • Developed terrain-aware routing with multiple surface types affecting movement costs
  • Implemented priority-based routing system for emergency vehicles
  • Created dynamic obstacle avoidance with real-time path replanning
  • Built comprehensive traffic management and congestion analysis
  • Integrated weather effects impacting movement and pathfinding decisions
  • Developed visualization system with real-time simulation and analysis tools

Simulation Analysis

Multi-Agent Pathfinding

Demonstration of multiple agents navigating dynamic obstacles and terrain

Multi-Agent Pathfinding Simulation
Pathfinding Performance
Accuracy: 94.8%Latency: 15ms
Resource Utilization
Accuracy: 92.3%Latency: 23ms
Environmental Handling
Accuracy: 96.5%Latency: 12ms

Technical Architecture

System Architecture

High-level system architecture showing main components and their interactions

System Architecture

Key Metrics

Up to 100x100
Grid Size
40+ simultaneous
Agents
<100ms
Path Updates
4+ types
Scenarios

Technologies

Python 3.8+NumPyMatplotlibAsyncioRich CLIpytest