A Bayesian-Optimized Long Short-Term Memory Deep Learning Model for Traffic Prediction in Intelligent Transportation
The developed scheme outperforms counterpart models, advocating its potential to enhance dynamic traffic management and intelligent signal coordination systems and enables more accurate short-term flow estimates, thereby reducing average vehicle waiting times and improving intersection-level signal responsiveness.