The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy. This has been increasing over years. Regulating traffic on roads is an important task. There by reducing accidents in accident prone zones. The accident was drastically increased over a decade from 4% to 31%. This is a alarming issue. The analysis and ide...

In our previous studies,1,2,3) it was shown that the mortality from motor vehicle accident is affected by various psychosocial factors such as social mobility, high income, aging population, occupation, type of automobiles and climate . In this study, we aim at exploring neurobehavioral predictors which could distinguish the traffic accident-prone drivers from safe drivers ; eleven factors are ...

Rear-end collisions are caused by drivers misjudging urgent risks while following vehicles ahead in most cases. However, compared with other accident types, rear-end have higher preventability. This study aims to reveal the prone segments and hours of collisions. First, we extracted 1236 cases from traffic records Harbin 2015 2019. These accidents classified as property damage accidents, injury...

In urban cities, visual information on and along roadways is likely to distract drivers lead missing traffic signs other accident-prone (AP) features. To avoid accidents due these cues, this paper proposes a notification of AP-features based real-time images obtained via dashcam. For purpose, Google Street View around accident hotspots (areas dense occurrence) identified by real-accident datase...

The objective of an accident-mapping algorithm is to snap traffic accidents onto the correct road segments. Assigning accidents onto the correct segments facilitate to robustly carry out some key analyses in accident research including the identification of accident hot-spots, network-level risk mapping and segment-level accident risk modelling. Existing risk mapping algorithms have some severe...

This article aims to proactively predict high-risk accident areas in a new highway project terms of its technical and geometric characteristics. The purpose this study is provide road managers with better safety assessment tools for the vehicle occupant category. methodology used combines International Road Assessment Program (IRAP) Geographic Information System (GIS). IRAP program enables calc...

Relatively recent research has illustrated the potential that tobit regression has in studying factors that affect vehicle accident rates (accidents per distance traveled) on specific roadway segments. Tobit regression has been used because accident rates on specific roadway segments are continuous data that are left-censored at zero (they are censored because accidents may not be observed on a...

This paper presents an evolutionary algorithm for recognizing high and low crash road segments using Genetic Algorithm as a dynamic segmentation method. Social and economic costs as well as physical and mental injuries make the governments perceiving to road safety indexes in order to diminish the consequences of road accidents. Due to the limitation of budget for safety...