The accurate prediction of real-time traffic flow is indispensable to intelligent transport
systems. However, the short-term prediction remains a thorny issue, due to the complexity …

Deep learning techniques have been widely used in traffic flow prediction. They can perform
much better than shallow models. However, most existing deep learning models only focus …

Accurate human traffic prediction, as a vital component of an intelligent transportation
system (ITS), can not only reduce traffic congestion and resource consumption, but also …

Predicting short term traffic flow to improve traffic control is a research problem attracting
increased attention over the past 30 years. With increasing number of traffic data acquisition …

This paper systematically reviews Deep Learning-based methods for traffic flow prediction.
We extracted 26 articles using a concrete methodology and reviewed them from two …

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 …

Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

Considering that the road short-term traffic flow has strong time series correlation
characteristics, a new long-term and short-term memory neural network (LSTM)-based …

Accurate and timely traffic flow prediction not just allows traffic controllers to evade traffic
congestion and guarantee standard traffic functioning, it even assists travelers to take …

The paper aims to explore the performance of short-term traffic flow prediction of the 5G (5th
Generation Mobile Communication Technology) Internet of Vehicles (IoV) based on edge …