Intelligent traffic monitoring systems are necessary and useful tools due to the emerging
technologies related to the Internet of Things (IoT) and Artificial Intelligence (AI). The …

Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …

The increasing development of urban centers brings serious challenges for traffic
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …

Predicting the accurate traffic crowd flows is of practical importance for intelligent
transportation systems (ITS). However, it is challenging because traffic flows are affected by …

Urban traffic passenger flows prediction is practically important to facilitate many real
applications including transportation management and public safety. Sustained and rapid …

We investigates the performance of deep Convolutional Neural Network (CNN) for
recognizing highway traffic congestion state in surveillance camera images. Different from …

Intersections are one of the main sources of congestion and hence, it is important to
understand traffic behavior at intersections. Particularly, in developing countries with high …

Abstract Nowadays, Smart Cities applications are becoming steadily popular, thanks to their
main objective of improving people daily habits. The services provided by the …

Already known as densely populated areas with land use including housing, transportation,
sanitation, utilities and communication, nowadays, cities tend to grow even bigger. Genuine …

This paper proposes a convolutional neural network (CNN)-based method that learns traffic
as images and predicts large-scale, network-wide traffic speed with a high accuracy …