With the collection of massive amounts of data every day, big data analytics has emerged as
an important trend for many organizations. These collected data can contain important …

Vehicle detection and classification has been an area of application of image processing
and machine learning which is being researched extensively in accordance with its …

The emergence of smart cities aims at mitigating the challenges raised due to the
continuous urbanization development and increasing population density in cities. To face …

In order to ensure the safety measures, the detection of traffic rule violators is a highly
desirable but challenging task due to various difficulties such as occlusion, illumination, poor …

The real-time detection of traffic rule violators in a city-wide surveillance network is a highly
desirable but challenging task because it needs to perform computationally complex …

Nowadays, the demand of camera surveillance systems (CSS) has been increasingly
adopted in various industries for smart manufacturing. However, the increase of utilizing …

Interest in smart cities (SCs) and big data analytics (BDA) has increased in recent years,
revealing the bond between the two fields. An SC is characterized as a complex system of …

The relationship between big data analytics (BDA) and smart cities (SCs) has been
addressed in several articles. However, few articles have investigated the influence of …

Motorcycles are Vulnerable Road Users (VRU) and as such, in addition to bicycles and
pedestrians, they are the traffic actors most affected by accidents in urban areas. Automatic …

The built environment has been digitizing rapidly and is now transforming into a physical
world that is at all times supplemented by a fully web-supported and interconnected digital …