Automated Accident Location Detection System (Extended)

• Main Author: Eddy, Goh Tik Earn
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2013
• Online Access: http://utpedia.utp.edu.my/13604/1/Eddy_13788.pdf; http://utpedia.utp.edu.my/13604/

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.