An Approach of Short Term Road Traffic Flow Forecasting Using Artificial Neural Network

In recent days, road traffic management and congestion control has become major problems in any busy
junction in Hyderabad city. Hence short term traffic flow forecasting has gained greater importance in
Intelligent Transport System (ITS). Artificial Neural Network (ANN) models have been fruitfully applied for
classification and prediction of time series. In this chapter, an attempt has been made to model and forecast
short-term traffic flow at 6.no. junction in Amberpet, Hyderabad, Telangana state, India applying Neural
Network models. The traffic data has been considered for peak hours in the morning for 8A.M to 12 Noon, for 5
days. Multilayer Perceptron (MLP) network model is used in this study. These results can be considered to
monitor traffic signals and explore methods to avoid congestion at that junction.