🚂 Railway Evolution v6 — [THE PERFORMANCE & STABILITY CORE]

This update represents the most significant refinement of the Railway Evolution core to date. By rigorously auditing the "hot paths" of our AI logic and eliminating excessive object allocation, we have achieved a new level of tick-rate stability. The focus of v6 is seamless performance: keeping the high-speed traffic flowing without burdening the Java Garbage Collector, even in dense, complex rail networks.

✨ Key Features of v6:

• Zero-Allocation Tick Cycle: Major backend refactor of the VirtualBlockSystem and ReservationManager. By implementing key-based lookups and singleton patterns, we have eliminated redundant object creation during frequent reservation renewals.
• Heuristic Optimization: Advanced mathematical refinement for AccidentZoneMemory (distance-squared comparison) drastically reduces CPU overhead during proximity checks.
• AI Logic Cleanup: Streamlined state management and buffer reuse in the EcosystemRegistry ensures that player-train interactions remain fluid and responsive without triggering GC spikes.
• Refinement of the Core: While the 5,000+ line TrainAIController remains the stable authority, all surrounding support systems have been optimized for maximum efficiency.

🛠 Technical Changelog (v6):

Performance & Memory Optimizations

• VirtualBlockSystem: Optimized tryReserve() and reservation lifecycle management. Implemented key-based caching; renewal logic is now effectively zero-allocation.
• JunctionReservationManager: Introduced GRANTED_NO_GHOST singleton to replace transient result objects during intersection renewals.
• AccidentZoneMemory: Switched to squared-distance heuristics, bypassing unnecessary Math.sqrt() calls during multi-zone iterations.
• EcosystemRegistry: Optimized scanPlayerControls() by replacing transient HashSet allocations with a persistent class-level buffer (stillControlledBuf).
• General Housekeeping: Removed redundant field lookups and variable shadowing in TrainAIManager and EcosystemRegistry to decrease instruction overhead per tick.

Logic & Reliability

• Conflict Resolution: Refactored isHeadOnConflict() to use direct boolean comparison, reducing method-invocation depth in high-frequency logic gates.
• Cleanup: Conducted scope cleanup in tickRefreshAll() to prevent state leakage and improve variable lifecycle efficiency.

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🔮 Future Roadmap: Stability & Scalability

With the v6 performance optimizations complete, the core logic is now more efficient than ever. This release ensures that Railway Evolution remains performant even as your rail networks grow in scale and complexity. My focus remains on maintaining this high-performance core across future Minecraft versions, providing a rock-solid foundation for the world’s most advanced rail automation systems.

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Developed by Fizzy_lovely (1xCodeTeam) — Precision engineering, zero-lag performance.