In the presence of complex traffic flow patterns, this research responds to the challenge by
proposing the application of the Long Short-Term Memory (LSTM) model and comparing …

Long short-term memory (LSTM) is becoming increasingly popular in the short-term flow. In
order to develop high-quality prediction models, it is worth investigating the LSTM potential …

Long short-term memory (LSTM) is becoming increasingly popular in the short-term flow. In
order to generate quality prediction models, it is worth investigating the LSTM potential for …

Intelligent transportation system (ITS) refers to comprehensive transport systems that uses
advanced science and technology to ensure safety, enhance efficiency, improve …

Accurate speed prediction of short-term traffic flow enhances the effectiveness of using traffic
information in road sections and effectively alleviates traffic congestion pressure. It also …

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 …

In this study, a deep learning and particle swarm optimization-based technique for predicting
traffic flow is proposed. First, the time-series features of traffic flow are captured using the …

The development of the Internet of Things (IoT) has produced new innovative solutions, such
as smart cities, which enable humans to have a more efficient, convenient and smarter way …

In recent years, the rapid growth of vehicles has imposed a significant burden on urban road
resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS) …

Every year, there is a rapid increase in population and vehicle purchases. The increasing
number of vehicles also increases the traffic flow prediction rate on urban roads. One …