A bio-inspired IVY metaheuristic for optimizing LSTM models in urban traffic flow prediction

Key Points

• Optimized LSTM models improve predictions of urban traffic flow, enhancing traffic management.
• The metaheuristic approach increased prediction accuracy by 20% compared to traditional methods.
• Analysis focused on urban traffic data in major cities, utilizing a bio-inspired optimization technique.
• This study indicates potential for future enhancements in traffic control systems using advanced algorithms.