Intelligent traffic management systems, urban planning, and the reduction of traffic
congestion all depend on traffic flow prediction. In this research, a method based on …

The continuous development of highway construction projects has prompted the function of
service areas to be improved day by day. A traditional service area gradually transforms …

Short term traffic prediction is one of the attractive topics in current Intelligent Transport
System (ITS) research and practice. The rapid progress in machine learning and the …

Traffic congestion is one of the problems for cities around the world due to the rapid
increasing of vehicles in urbanization. Traffic flow prediction is of a great importance for …

Efficient traffic management is a major issue for developing countries. Traffic flow prediction
is an important problem in intelligent transportation system (ITS). Various studies have been …

The provision of long-distance travel time information has been a major factor facilitating the
intelligent transportation system to become more successful. Previous studies have pointed …

Traffic forecasting, as an important part of intelligent transportation systems, plays an
important role in monitoring traffic conditions. Given that many studies have done traffic …

This paper presents a hybrid approach to developing a short-term traffic flow prediction
model. In this approach a primary model is synthesized based on Neural Networks and then …

The existing short-term traffic flow prediction models fail to provide precise prediction results
and consider the impact of different traffic conditions on the prediction results in an actual …

Intelligent transport systems (ITS) include a broad range of applications that require
proactive strategies and predictive data driven by artificial intelligence and big data. The …