Understanding the flow of traffic on road networks is a primary focus of road transport
authorities. A range of technologies has been applied to measure throughput and potential …

Understanding the flow of traffic on road networks is increasingly important especially with
the continued urbanization of the global population. Numerous hardware and software …

The" significant rise in congestion on traffic lanes is one of the most significant challenges
that slows the growth of a metropolitan metropolis. The reason for this is that there are a …

This paper presents a novel approach designed for the study of vehicles, with a primary
focus on enhancing the assessment of goods and their value. The framework aims to …

The increasing urbanization of the global population has drawn many researchers' attention
to the field of Intelligent Transportation Systems. Numerous hardware and software …

Accurately assessing the speed of vehicles is important for traffic management systems. This
is especially the case for heavy goods vehicles such as lorries/trucks, since they cannot …

Intelligent transportation system (ITS) contributes to allocate transportation resources, from
citywide ones to nationwide, more efficiently with the help of algorithms. Due to the fact that …

An intelligent transportation system (ITS) is one of the core elements of smart cities,
enhancing public safety and relieving traffic congestion. Detection and classification of …

The deep learning is a growing multi-layer neural network learning algorithm in the field of
machine learning in recent years. Firstly, this paper analyzes the superiority of the deep …

ABSTRACT Emergency Traffic Management (ETM) is one of the main problems in smart
urban cities. This paper focuses on selecting an appropriate object detection model for …