This paper surveys the short-term road traffic forecast algorithms based on the long-short
term memory (LSTM) model of deep learning. The algorithms developed in the last three …

Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …

The resolution of traffic congestion and personal safety issues holds paramount importance
for human's life. The ability of an autonomous driving system to navigate complex road …

Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

Recent research shows that automated decision-making systems based on Artificial
Intelligence (AI) may lead to perceived unfairness and bias, especially in some sensitive …

Closed-circuit television (CCTV) systems have become pivotal tools in modern urban
surveillance and traffic management, contributing significantly to road safety and security …

Accurate traffic simulation models play a crucial role in developing intelligent transport
systems that offer timely traffic information to users and efficient traffic management …

The need to accurately classify records is a core problem in many domains. Historically, the
classification of records was done manually, with those records" read" as they were received …

The Intelligent Transportation System (ITS) is an important part of modern transportation
infrastructure, employing a combination of communication technology, information …

This paper presents a data-driven approach to address the state of good repair (SGR) in
small urban and rural transit systems in the US by predicting the service life of rolling stock …