Automated Accident Location Detection System (Extended)

Today, the human rely more on automobile road transportation compare to the other
transportation medium. Therefore, the more road users on road will causes increasing
number of accidents happened. This problem has increase the fatal rate of accidents.
Although the Malaysian Emergency Response Services team (MERS 999) has
implemented in Malaysia to provide support to accidents, but there are several
inefficiency usage of resources in the organization. The scope of study will be based on
the Malaysian drivers only. The author is extending the project from the previous final
year student. He will be continuing to do the server gateway, website system and
implementation of algorithm in Automated Accident Location Detection System. The
project is rapidly tested and verify to ensure it is on the right track and to meet the
deliverable deadline. Surveys were done to 120 respondents who are car drivers. The
results show a positive result towards the objective of this project. The overall result
recorded a 2.66 of ratings out of 5 on the efficiency level of MERS 999. Qualitative
research is carried out on 3 of Malaysian driver and 1 staff from MERS 999. The
functionalities of this system will enhance the current emergency response service by
providing a platform for reporting an accident. The accident locator and website system
will work together to redirect the real-time message to the nearest hospital using the
modified Haversine algorithm. This will help to reduce the fatal rate as stated in the
objective.