In this paper we introduce a comparison for some of data mining algorithm for traffic accidents analysis.
We start by describing available data for entry by analyzing the structure of statistical reports in Lattakia traffic directorate, and proceed
to data mining stage which enables us to smart study of factors that play roles in traffic accident and find its inter-relations and importance for causing traffic accident.
That comes after building data warehouse upon the database we built to store the data we gathered.
In this research we list a some of models was tested which is a sample of a many cases we checked to have the research results.
Traffic Conflict Technique TCT has a long history in traffic safety researches. Traffic accidents are now
well known to generate a serious problem that exhausts enormous resources of the national economy
either directly or indirectly. Because signa
lized intersections are potential black spot locations that may
cause too many accident this research uses the traffic conflict techniques for analyzing accidents at
signalized intersections.
In this research, TCT was used at four-leg signalized intersections in Damascus to evaluate safety at these
intersections. The relationship between conflicts and accidents was estimated and the results indicated
that the conflicts and the accidents are related to each other by a linear regression. Results also showed
that the correlation was unclear between conflicts and entry volumes at the intersections. Additionally,
priority ranking of these intersections was developed based on risk index that depends on injury level.
This study aims to measure and analyse the social and economical
cost of Traffic Accidents in the Hashimyat Jordanian Kingdom
governorates.
The Study employs the descriptive approach to achieve its goals.
Data information were collected from thei
r origins and processed
employing the techniques: partial correlation, multiple regression, and
sum of ranke analysis.
The study concluded the existence of differences in the social and
economic costs of traffic accidents between the Kingdom governorates
and this difference is related differences in population figures, number of
registed vehicles, and traffic accident counts.
The study, classified the kingdom governorates according to the
levels of socio economic costs into three levels: High cost level, medium
and low.
Geographic Information Systems) GIS), and its advanced spatial and statistical analysis of traffic accidents at the city level, play a key role in improving traffic safety and urban development. This paper presents a general methodology for spatial a
nd statistical analysis of traffic accidents within Homs city during three consecutive years 2007, 2008 and 2009. Maps are produced representing the spatial distribution of point traffic accidents within the city where is covered with a network of squares (300 m * 300 m) to identify the most dangerous areas in terms of the number of accidents. A map representing the most dangerous road segments is also produced in Homs city. In addition, the analysis of statistically significant hot spots (Getis-Ord Gi *) is performed. Through this study and the maps produced, dangerous areas and roads segments that have the largest number of accidents during the three years are well identified. These maps can be presented to decision-makers in the field of transport and traffic to study them from all aspects and work to solve the problems that led to an increase in the number of accidents.
