In recent years, traffic flow prediction has attracted more and more interest from both
academia and industry since such information can provide effective guidance for traffic …

The traffic flow prediction plays a key role in modern Intelligent Transportation Systems (ITS).
Although great achievements have been made in traffic flow prediction, it is still a challenge …

Traffic flow prediction is regarded as an important concept used in traffic planning, traffic
design, and traffic management. In this study, the authors propose a multi‐component …

Traffic congestion is a major problem in the last few decades. Though the Government is
taking various measures like installing more traffic signals, constructing fly-overs, one-ways …

Short-term prediction of traffic flow is one of the most essential elements of all proactive
traffic control systems. The aim of this paper is to provide a model based on neural networks …

The Expressway (controlled-access highways) of China is the longest in the world and plays
an important role in people's daily life. Accurate short-term traffic prediction is essential for …

Traffic flow (TF) prediction is an important and yet a challenging task in transportation
systems, since the TF involves high nonlinearities and is affected by many elements …

Short-term traffic flow prediction is of great significance in intelligent transportation. In recent
years, with the development of information collection technology and deep learning …

An expressway is divided into different road segments according to the entrance-exit toll
stations. Based on the driving characteristics of expressways, two methods are proposed to …

Emergencies are rare and random, but cause dramatic changes in traffic volumes whenever
they occur. It is therefore very challenging to predict emergency traffic volumes accurately …