Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poisson-lognormal) for modelling the number of accidents at different severity levels simultaneously. This paper proposes an alternative method to...

Three accident causation models, each with their own associated approach to accident analysis, currently dominate the human factors literature. Although the models are in general agreement that accidents represent a complex, systems phenomenon, the subsequent analysis methods prescribed are very different. This paper presents a case study-based comparison of the three methods: Accimap, HFACS an...

BACKGROUND Currently, accidents are the second highest cause of death in most societies. Traffic accidents account for the largest proportion of accidental deaths. The aim of this report was to identify the accidents that cause casualties on the roads around Mashhad. METHODS This study was a case-control study, where the cases were drivers who had accidents resulted in casualties, and the con...

The aim of this paper is to suggest a quick and easy method for the collection of knowledge about human error in the maritime work domain using accident reports as empirical material. The method has three steps: 1. Text analysis 2. Accident analysis 3. Human error analysis Step 2 and 3 are based on very well known methods, techniques and taxonomies already included in the ongoing discussion abo...

This study aims to identify influencing factors of traffic accidents in Japanese major road through factor analysis and regression analysis for each accident type, considering their characteristics of rare event. The database consists of 5-year accident record and relevant road traffic condition data in major road sections in Aichi Prefecture which includes the third largest conurbation area of...

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A new predicting system is presented in which the aim is to forecast the presence or not of oil slicks in a certain area of the open sea after an oil spill. In this case, the CBR methodology has been chosen to solve the problem. The system designed to predict the presence of oil slicks wraps other artificial intelligence techniques such as a Growing Radial Basis Function Networks, Growing Cell ...

report of 850 cases of foreign bodies in the air and food passages is presented. the incidence of the accident was more in children between the age of 1-6 years than others. no sex difference was noted for the incidence of the accident the presence of leech as a foreign body in this report is of interest general anesthesia is recommended in the case that foreign bodies are present in the air wa...