This paper addresses future pedestrian accident scenarios involving next decade of small electric vehicles (SEVs) employed primarily in urban areas in 2025. The methodology used to predict the most relevant accident scenarios in 2025, in terms of speeds, impact locations, vehicle designs and inner-city boundaries, includes four main steps and as an example, the first three steps are shown for p...

Big data analytics for traffic accidents is a hot topic and has significant values for a smart and safe traffic in the city. Based on the massive traffic accident data from October 2014 to March 2015 in Xiamen, China, we propose a novel accident occurrences analytics method in both spatial and temporal dimensions to predict when and where an accident with a specific crash type will occur conseq...

Increasing amount of road traffic in 1990s has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving environmental factors based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for roa...

This study applied logistic regression to accident-related data collected from traffic-police records in order to examine the contributing factors to accident severity. A total of 560 subjects involved in severe accidents was sampled. The accident severity (dependent variable) in this study is a dichotomous variable with two categories, Fatal or Injury. Therefore, each of the subjects sampled i...

An estimated 1.2 million people worldwide are estimated to be killed and 50 million injured in road traffic accidents each year. Statistics reveal that every 3 minutes a child is killed on the world’s roads, and more than 80% of road deaths occur in low and middle income countries. According to some estimates, it is expected that, in the year 2020:  road deaths will increase by 80%;  road tra...

A new database system was developed by integrating the license data of all drivers in Japan (80 million drivers) with 11 million road traffic accident data from the year 1995 to 2007 and 130 million road traffic violation data from the year 1993 to 2007 to study the relation between accident/violation experience and accident rates. The results of data analysis using the database are as follows;...

A severe accident occurred in March 2011 at the Fukushima Dai-ichi nuclear power plant (FDNPP) operated by the Tokyo Electric Power Company (TEPCO), causing serious environmental pollution over a wide range covering eastern Japan and the northwestern Pacific. This accident created a large mark in the atmospheric radionuclide chronological record at the Meteorological Research Institute (MRI). T...

This paper describes sources of digital information which can be used for traffic analysis, and in particular post-accident analysis. We discuss how we can use this information to automatically find likely causes for traffic accidents and create a system which makes a simple report of an accident. With the Veins simulator we generate data of a head-tail collision and normal traffic situation in...

Hanoi, the capital and administrative center of Vietnam, is also the location of various administrative bodies. In Hanoi, responsibility division in traffic safety remains complex. Particularly, accident analysis in existing safety management agencies still requires an authorized contact agency responsible for providing updated information of its incharge areas. In the past few years, this cont...