Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

This paper systematically reviews studies that forecast short-term traffic conditions using
spatial dependence between links. We extract and synthesise 130 research papers …

Short-term traffic flow forecasting is a key element in Intelligent Transport Systems (ITS) to
provide proactive traffic state information to road network operators. A variety of methods to …

Traffic forecasting is a classical task for traffic management and it plays an important role in
intelligent transportation systems. However, since traffic data are mostly collected by traffic …

A robust traffic rerouting system is important in traffic management, alongside an accurate
traffic simulation model. However, missing data continues to be a problem as it will inevitably …

Moving vehicles interact with IoT devices deployed in cities and establish social
relationships to provide proactive and intelligent services for smart cities. For example, big …

Intelligent traffic control and guidance system is an effective way to solve urban traffic
congestion, improve road capacity and guarantee drivers' travel safety, while short-term …

Short-term traffic flow forecasting is a key step to achieve the performance of intelligent
transportation system (ITS). Timely and accurate traffic information prediction is also the …

Carbon emissions from road transport are one of the main issues related to modern
transport planning. To address them adequately, the acquisition of reliable data about traffic …

Short term forecasting is essential and challenging in time series data analysis for traffic flow
research. A novel deep learning architecture on short-term traffic flow prediction was …