Integration of the latest technological advancements such as Internet of Things (IoT) and
Computational Intelligence (CI) techniques is an active research area for various industrial …

Managing traffic on roads within cities, especially crowded roads, requires constant and
rapid intervention to avoid any traffic congestion on these roads. Forecasting the volume of …

The use of new information and communication technologies is an important aid to solving
transportation problems. This is commonly known as ITS (Intelligent Transport Systems) that …

The Intelligent Transportation System (ITS) is one of the key element to build smart cities. For
the ITS traffic flow prediction plays a major role for a better traffic monitoring and control …

The Long short-term memory is one of the scheme in Deep Learning technique that can be
used for more accurate time series forecasting. Cities are nowadays facing a huge traffic …

In the development of smart cities, the intelligent transportation system (ITS) plays a major
role. The dynamic and chaotic nature of the traffic information makes the accurate …

Predicting traffic flow is a crucial component of an intelligent transportation system. Precisely
monitoring and predicting traffic flow remains a challenging endeavor. However, existing …

Accurate prediction of traffic makes it easy to make decisions of travelling route, travelling
schedule, travel vehicles choice for a commuter. The surveillance systems, GPS system …

Objectives: The main objective of this study is to improve the accuracy and reliability of the
short-term traffic flow forecasting method, while simultaneously addressing limitations in …

A short-term traffic flow prediction framework is proposed for urban road networks based on
data-driven methods that mainly include two modules. The first module contains a set of …