Table 8.

Comprehensive algorithm performance comparison with full Metrics.

Algorithm name	Accuracy rate	Precision	Recall	F1 Score	Response time	Computational complexity	Memory usage	Stability index	Applicable scenarios
Proposed AI-driven Method	94.7%	93.2%	95.1%	94.1%	78.3 ms	O(n log n)	3.2 GB	0.96	Multi-modal Real-time
Genetic Algorithm	87.2%	85.8%	88.3%	87.0%	156.8 ms	O(n²)	2.8 GB	0.84	Static Optimization
Rule-based System	79.5%	81.2%	76.9%	79.0%	45.2 ms	O(n)	1.4 GB	0.92	Simple Scenarios
Conventional Neural Network	85.9%	84.5%	87.1%	85.8%	134.5 ms	O(n² log n)	4.1 GB	0.78	Single-modal Data

Note: Metrics calculated over 500 standardized test scenarios spanning diverse conditions (crowd densities 50–800 persons/hectare, weather conditions clear/rain/fog, times 6 AM-11 PM). Accuracy rate measures correct design intervention classification. Stability index quantifies performance consistency under varying loads (0 = unstable, 1 = perfectly stable).