Research Paper Road Accident In Malysia.
Bhagyaiah and Shrinagesh (14) analyzed traffic-accident data in India using Geographic Information Systems (GIS). They found that between 2001 and 2013, traffic (both motorcycles and cars) had increased more than 200 percent, without a concomitant increase in road capacity. They also demonstrated that GIS can help analyze traffic-accident data.
This paper makes a projection of the vehicle ownership rate to the year 2010 and to use this projection to predict road accident deaths in year 2010. The projection served as an indicator for the.
The Sultanate of Oman has one of the highest road traffic accident (RTA) related fatality rates worldwide (Al Lamki, 2010). Since Sultan Qaboos addressed this issue in a speech in October 2009, research institutions, ministries and NGOs alike have strengthened their efforts to cope with this public health burden. Yet, still little is known about the factors contributing to the high number of.
Road accident in Malaysia is increasing every year and is dangerous to all people. In this situation all people must realize and give more a. The solution to reduce road accidents,,, 1) Education An education can be implemented through exposure in moral subject at school, by improving a training in driving scho. The factors that causes an accidents. Human factor (drivers, riders and.
A well-publicised accident a few years ago in Singapore involving a Ferrari that crashed into a taxi took the lives of three people is one that saddens us. And when you realise that almost half a million summonses were issued in 2015 for beating the red light in KL, you start to realise how common the offence is. The risks aren’t worth it seriously.
Another similar research study (5) describes random parameter models for accident prediction on two -lane highways in India. It was a kind of Poisson regression model to predict road accident variables related to road geometry and environment that contribute to traffic accidents occurrence, and have been included to propose the accident prediction which is more appropriate for the Indian.
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