Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

From smart cities development perspective, road vehicle detection exploiting drone-based
aerial imagery is a crucial part of traffic surveillance and monitoring systems where effective …

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 …

Vehicle detection based on unmanned aerial vehicle (UAV) aerial images plays a significant
role in areas such as traffic monitoring and management, disaster relief, and more …

To understand the operating status of the road network and measure the traffic congestion
problem, an intelligent calculation method for the intelligent traffic flow index based on big …

Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …

The United Nations (UN) stated that all new roads and 75% of travel time on roads must be
3+ star standard by 2030. The number of stars is determined by the International Road …

The European Commission (EC) has published a European Union (EU) Road Safety
Framework for the period 2021 to 2030 to reduce road fatalities. In addition, the EC with the …