Deep brain stimulation (DBS) has evolved into an approved and efficacious treatment for
movement, obsessive-compulsive, and epilepsy disorders that are refractory to medical …

It aims to improve the efficiency of information collection and extraction in the current
intelligent transportation system, and accurately mine the vehicle trajectory data By using …

In urban areas, pedestrians are the road users category that is the most exposed to road
accident fatalities. In this context, the present article proposes a totally new architecture …

Traffic prediction is one of the most important use cases for smart cities. Accurate traffic
information is key to managing traffic issues. Many approaches that use traffic time series …

The slipperiness of the surface is essential for road safety. The growing number of CCTV
cameras opens the possibility of using them to automatically detect the slippery surface and …

The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of
wireless sensor networks for environmental traffic sensing across urban areas. In this study …

A method of detecting and counting road vehicles using an acoustic sensor placed by the
road is presented. The sensor measures sound intensity in two directions: parallel and …

Accurate traffic prediction is crucial for urban planning, especially in rapidly growing cities.
Traditional models often struggle to account for sudden traffic pattern changes, such as …

Here, we introduce Traffic Ear, an acoustic sensor pack that determines the engine noise of
each passing vehicle without interrupting traffic flow. The device consists of an array of …

Constant monitoring of road traffic is important part of modern smart city systems. The
proposed method estimates average speed of road vehicles in the observation period, using …