Short-term traffic flow prediction has paramount importance in intelligent transportation
systems for proactive traffic management. In this paper, a short-term traffic flow prediction …

The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …

With the complex traffic situation and worse traffic congestion, predicting traffic flow
accurately is quite important. This thesis emphatically introduced long short-term memory …

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 …

In the previous research on traffic flow prediction models, most of the models mainly studied
the time series of traffic flow, and the spatial correlation of traffic flow was not fully …

Accurate traffic flow information is crucial for an intelligent transportation system
management and deployment. Over the past few years, many existing models have been …

Accurate short-term traffic flow forecasting facilitates active traffic control and trip planning.
Most existing traffic flow models fail to make full use of the temporal and spatial features of …

Traffic flow prediction plays a key role in many Intelligent Transportation System research
and applications. It aims to forecast the forthcoming traffic conditions with the help of …

The effectiveness of road traffic control systems can be increased with the help of a model
that can accurately predict short‐term traffic flow. Therefore, the performance of the preferred …

Intelligent Transportation System's (ITS) main aim is to provide advanced services in both
the transportation and traffic fields. A wide variety of algorithms and different types of models …