Traffic closed-circuit television (CCTV) devices can be used to detect and track objects on roads by designing applying artificial intelligence deep learning models. However, extracting useful information from the detected determining occurrence of traffic accidents are usually difficult. This paper proposes a CCTV frame-based hybrid accident classification model that enables identification whe...

Traffic accidents at intersections in urban area are the most common and take a majority of the accident toll. Analysing and generating counter measures has been the major task for traffic safety officials and engineers. Without knowing the safety implications of the counter measures, the task normally concentrates on tackling accidents reflected in historic accident data. As more demand for tr...

In China, traffic accident data is published annually by the Traffic Management Research Institute of the Ministry of Public Security [1]. Accidents without casualties are usually not included. To gain a complete understanding and reliable insight of Shanghai traffic accidents, the project team collected the original accidents records on 192 Shanghai roads between 1-1-2009 and 12-31-2009. The o...

background and aim: more than 50% of road fatalities occur in the 15 to 44-years old which are the young and active group of the society. one of the effective ways to reduce road accidents is using safety belts. in this study the rate of seat belt use and its associated factors have been estimated in the 15 to 44-years old of kerman. materials and methods: this study was a cross-sectional descr...

The prediction of traffic accidents is one of most important issues in our life. In the prediction of traffic accidents, a GIS platform to extract the important features including day, temperature, humidity, weather conditions, and month of occurred traffic accidents has been used. In this study, a decision making system (DMS) based on correlation-based feature selection and classifier algorith...

Nowadays the active traffic management is enabled for better performance due to the nature of the real-time large data in transportation system. With the advancement of large data, monitoring and improving the traffic safety transformed into necessity in the form of actively and appropriately. Per-formance efficiency and traffic safety are considered as an im-portant element in measuring the pe...

Abstract Background and purpose:Work-related accidents are causing distress and economic losses. This study was conducted to estimate the burden of occupational accidents by the use of disability-adjusted life year (DALY) calculation in Iranian Social Security Organization (ISSO), Tehran province, between 2008 and 2011 time frame. Materials and Methods:This descriptive analytical study was cond...