Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Artificial intelligence (AI) is the ability of a machine to perform cognitive functions like
perceiving, reasoning, learning and problem-solving which humans are capable of …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Road accidents are a significant negative outcome of transportation systems, causing
injuries, fatalities, traffic congestion, and economic losses. As cities expand and the number …

This paper addresses the challenges in accurate and real-time traffic congestion prediction
under uncertainty by proposing Ising-Traffic, a dual-model Ising-based traffic prediction …

Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

VANET is the spontaneous evolving creation of a wireless network, and clustering in these
networks is a challenging task due to rapidly changing topology and frequent disconnection …

Surface transportation has evolved through technology advancements using parallel
knowledge areas such as machine learning (ML). However, the transportation industry has …