Flying Ad-Hoc Networks (FANETs) are groups of UAVs connected in an Ad-Hoc manner to
accomplish a common mission. The widespread acceptance of UAVs due to their low cost …

The aim of this study is to conduct a systematic review of the academic literature regarding
applications of drones in road accident management. It is an attempt to address key …

In urban smart city environments, traffic hazards can lead to catastrophic outcomes,
including significant property losses and severe threats to public safety. Conventional traffic …

Vehicle trajectory data have become essential for many research fields, such as traffic flow,
traffic safety, and automated driving. To make trajectory data useable for researchers, an …

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

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 …

Street-view images are essential data sources for advanced urban analytics. Most of the
street-view images that researchers utilize are commercial street views, which can be …

Convolutional neural networks (CNNs) have achieved remarkable performance in various
computer vision tasks, including object detection. However, for object detection from …

The increasing demand for efficient and safe transportation systems has led to the
development of autonomous vehicles and vehicle platooning. Truck platooning, in particular …

This article aims to present the results of a bibliometric analysis of relevant literature and
discuss the main research streams related to the topic of risks in drone applications. The …