For the wind speed prediction, many researchers have established prediction models based
on machine learning methods, statistical methods, and theoretical methods, that is, direct …

This paper surveys the short-term road traffic forecast algorithms based on the long-short
term memory (LSTM) model of deep learning. The algorithms developed in the last three …

The rapid urbanization and continuous improvement of road traffic equipment result in
massive daily production of traffic data. These data contain the long-term evolution of traffic …

Accurate traffic flow prediction, a hotspot for intelligent transportation research, is the
prerequisite for traffic flow prediction for making travel plans. The speed of traffic flow can be …

Traffic speed prediction based on real-world traffic data is a classical problem in intelligent
transportation systems (ITS). Most existing traffic speed prediction models are proposed …

Accurate traffic speed forecasting not only can help traffic management departments make
better judgments and improve the efficacy of road monitoring but also can help drivers plan …

Accurately predicting the highway traffic speed can reduce traffic accidents and transit time,
which is of great significance to highway management. Three essential elements should be …

Accurately predicting the highway traffic speed can reduce traffic accidents and transit time,
and it also provides valuable reference data for traffic control in advance. Three essential …

About two billion passenger cars travel the roads of the world and this is projected to double
by the year 2050. This calls for the need to create real time surveillance systems to manage …

In order to accurately analyse the impact of the rainy environment on the characteristics of
highway traffic flow, a short‐term traffic flow speed prediction model based on gate recurrent …