Integrating ADAM-based Neural Networks into Linear Optimization Models for Traffic Flow Prediction
Urban traffic congestion particularly in rapidly developing cities poses further challenges on urban mobility management to keep pace with increasing demands on their existing infrastructure. A common approach to traffic flow analysis is to predict vehicle volume using different optimization techniques. This study prop...