AbstractThe Pedestrian, Not at Junction and No

AbstractThe traffic accident is a regular phenomenon in the national highways which could be reduced by analysis and countermeasures. Road transportation system plays a vital role in the social, cultural, economic and industrial progress of any country. N1 highway (Dhaka-Chittagong-Teknaf) is called economic lifeline of Bangladesh. Most of the foreign goods and tourism industry are largely depends on this road. In Bangladesh, road accident is an emergent issue. According to the World Bank, the losses caused by road accidents in Bangladesh amount to 1.6 percent of the country’s gross domestic product (GDP). A high growth in urbanization and motorization played a lead role in the higher number of traffic accidents. The objective of this research work is to identify Black-spot and Hazardous Road Locations (HRL) on N1 highway (Dhaka-Chittagong-Teknaf) and critically review various aspects of accidents on the basis of collected data. The traffic accident data were collected from the Accident Research Institute (ARI), Bangladesh University of Engineering and Technology (BUET) by using Microcomputer Accident Analysis Package (MAAP5) software. From 2006-2011, total 823 accidents have placed on N1 highway, in which 929 people died. This research found that fatality index is 1.13 in N1 highway. Accident prone locations were pursued by analysis and consecrated a map based on Geographic Information System (GIS). For lessening road traffic accident, the analysis should be carried out to determine the leading factors. Head On, Rear End, Hit Pedestrian, Not at Junction and No Divider are the five leading factors which cause about 80% of the total road accident. Overall this research work has developed a framework for accident analysis. This research would help to find out HRL or Black-spots and adopting countermeasures on N1 highway leads to the sustainable development of the country.   Hence, the sequel of this research will help policy-makers or Government authority to take better decisions for planning traffic safety and flourishing traffic flows.