Multi-threaded Recast-Based A* Pathfinding for Scalable Navigation in Dynamic Game Environments

Tiroshan Madushanka; Sakuna Madushanka

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arXiv · 2602.04130

Multi-threaded Recast-Based A* Pathfinding for Scalable Navigation in Dynamic Game Environments

Tiroshan Madushanka·Sakuna Madushanka

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Abstract

While the A* algorithm remains the industry standard for game pathfinding, its integration into dynamic 3D environments faces trade-offs between computational performance and visual realism. This paper proposes a multi-threaded framework that enhances standard A* through Recast-based mesh generation, Bezier-curve trajectory smoothing, and density analysis for crowd coordination. We evaluate our system across ten incremental phases, from 2D mazes to complex multi-level dynamic worlds. Experimental results demonstrate that the framework maintains 350+ FPS with 1000 simultaneous agents and achieves collision-free crowd navigation through density-aware path coordination.

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BibTeX RIS

Tiroshan Madushanka, Sakuna Madushanka. 2026-02-04. Multi-threaded Recast-Based A* Pathfinding for Scalable Navigation in Dynamic Game Environments. https://arxiv.org/abs/2602.04130

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