This paper presents a new short-term traffic flow prediction system based on an advanced
Time Delay Neural Network (TDNN) model, the structure of which is synthesized using a …

Proper prediction of traffic flow parameters is an essential component of any proactive traffic
control system and one of the pillars of advanced management of dynamic traffic networks …

Short-term forecasting of traffic parameters such as flow and occupancy is an essential
element of modern Intelligent Transportation Systems research and practice. Although many …

Much of the current activity in the area of intelligent vehicle-highway systems (IVHSs)
focuses on one simple objective: to collect more data. Clearly, improvements in sensor …

Estimation of short-term traffic volumes is an important issue in the development of intelligent
transportation systems (ITS). This paper uses genetic algorithms to maximize statistical …

An approach is presented for optimizing short-term traffic-prediction performance by using
multiple topologies of dynamic neural networks and various network-related and traffic …

The artificial neural network (ANN) is one advance approach to freeway travel time
prediction. Various studies using different inputs have come to no consensus on the effects …

Abstract This study applies Artificial Neural Network (ANN) for short term prediction of traffic
flow using past traffic data. The model incorporates traffic volume, speed, density, time and …

Research for advanced traveler information systems (ATIS) has been focused on urban
roads. However, research for short-term traffic prediction on all categories of highways is …

Traffic prediction is a major component of any traffic management system. With the increase
in data sources and advancement in connectivity, data analysis and machine learning …