In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

Sustainable cities are currently undergoing unprecedented transformative changes in light
of the recent paradigm shift in science and technology brought on by big data science and …

Traffic flow prediction is important for urban planning and traffic congestion alleviation as
well as for intelligent traffic management systems. Due to the periodic characteristics and …

The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

With the increasing demand for intelligent transportation systems, short-term traffic flow
prediction has become an important research direction. The memory unit of a Long Short …

Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …

Given the enormous traffic issues, such as congestion and crashes, resulting from the
conflicts between trucks and passenger cars, an accurate and reliable prediction of truck …

Short‐term traffic speed prediction is a promising research topic in intelligent transportation
systems (ITSs), which also plays an important role in the real‐time decision‐making of traffic …

Traffic congestion is a thorny issue to many large and medium-sized cities, posing a serious
threat to sustainable urban development. Recently, intelligent traffic system (ITS) has …

The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …