The increase of road traffic in large cities during the last years has produced that long and
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …

Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …

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 …

In digital era, being stranded from very basic telecommunication protocols and internet
makes vehicle rerouting-like crucial tools more difficult or even impossible, especially in …

In recent years, autonomous electric vehicles (A-EVs) have attracted the attention of
academia and industry. In urban mobility, this topology requires consensus to control …

Green transportation has been increasingly gaining attention in recent years. Existing
pheromone-based traffic management frameworks were developed to reduce urban …

Recent studies have shown that it is necessary to further improve the prediction accuracy of
complex and dynamic traffic flow from two angles: temporal dependence and spatial …

Although the idea of information granulation has been shown to be a research craze in short-
term time series forecasting, it is still urgent to develop a granular framework so that …

Abstract Information granulation theory has been widely used in short-term time-series
forecasting research and holds significant weight. However, the error accumulation due to …

Among many traffic forecasting studies, comparatively fewer studies focus on long-term
traffic prediction, such as 24-hour prediction. While traffic data such as traffic speed are …