Predicting IoT-based Traffic in Smart Cities using Neural Networks

Abstract

Congested road networks are negatively impacting the sustainability of many cities due to worsening air contamination. In this Study, Neural Networks with Deep Learning Are used Traffic in Smart Cities. I used a data Set Called Traffic, Which Was Collected by Sensors Placement at Four Intersects, and then the time server situations are produced based on the GRU model, which is thoroughly investigated using different settings.