Road Accident Data Analysis of National Highway N1 and N2

Abstract

In recent years, the road accident has become a global problem and marked as the ninth prominent cause of death in the world. Due to the enormous number of road accidents every year, it has become a major problem in Bangladesh. It is entirely inadmissible and saddening to allow its citizen to kill by road accidents. Consequently, to handle this overwhelmed situation, a precise analysis is required. The applicability and reliability of twist of fate analysis and prediction models rely upon their capacity to integrate relevant input from disparate databases in a seamless and automated manner. These inputs include information on avenue geometry, traffic composition, accident profiles, and spatial referencing. With powerful capability in spatial referencing, information management, and visualization, geographic facts systems (GISs) provide a herbal platform for this kind of model. An integrated and user pleasant GIS platform for avenue twist of fate evaluation and prediction is described. To reveal this platform, it has been carried out to safety issues targeted at different levels of spatial aggregation, from person path sections to the overall network. The model changed into advanced by the use of databases received from the Accident Research Institute (ARI), BUET. The existing road twist of fate analysis gadget in Bangladesh is more targeted onto document management and basic data analysis i.e. Characteristics evaluation functions in preference to the usage of it as a source of intelligence. Although MAAP based twist of fate database represent the breathing for Road Accident information of the country, its software is confined by a number of limitations. However, maximum of the previous research centered on a few risk factors, some specific street customers or certain sorts of crashes; and consequently the essential factors affecting injury or crash severity have now not been completely recognized yet.