Road traffic parameters prediction in urban traffic management systems using neural networks

The article reviews neural networks applications in urban traffic management systems and presents a method of traffic flow prediction based on neural networks. It describes neural networks features, which allows them to be used to solve, optimisation tasks involved in designing optimal road traffic control strategies in urban traffic systems (UTC systems). In presented examples neural networks estimate road infrastructure throughput and length of waiting vehicles queue.