Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …

This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …

The paper presents an approach and case study of a distributed driver monitoring system.
The system utilizes smartphone sensors for detecting dangerous states for a driver in a …

The drowsiness of the drivers might increase road accidents. Nowadays, computer vision
and image processing technology can solve the problem and decrease the number of …

The real-time driving behavior monitoring plays a significant role in intelligent transportation
systems. Such monitoring increases traffic safety by reducing and eliminating the risk of …

In this paper, we demonstrate the concept of the situation analysis of dangerous driving
events for smartphones to fully understand the driving situation in a given scenario in a real …

The paper presents a human-smartphone interaction system that is aimed at dangerous
situation detection in a vehicle while driving. The system implements the driver head …

To significantly reduce the occurrence of severe traffic accidents, reducing the number of
vehicles in urban areas should be considered. Personal mobility is essential for realizing …

Many people drive while being tired or drowsy and according to experts, many drivers fail to
recognize they are in a fatigued state. The paper describes an ontology-based approach …

Nowadays vehicles are increasing, which create difficulties in controlling traffic that leads to
accidents especially in no network areas. The most essential thing is to prevent an accident …