In South Korea, traffic accidents cause over 24 trillion won of social costs a year, thus causing tremendous losses to the national economy.
Many kinds of safety facilities have been installed for safe road driving, but most of them except for the ones to prevent speeding depend on visual means in the form of sign. Those facilities are made to be recognizable even in the night, but they are vulnerable to such meteorological conditions as snow and rain and thus fail to perform their functions.
Such facilities are recently made as electric and electronic devices to be clearly recognizable even in bad weather or from a long distance.
They are, however, subject to frequent breakdowns and thus need frequent replacements. They are deadly for safe driving and cause massive maintenance costs among other problems.
All the safety facilities installed along the roads must be clearly recognizable and easy to maintain in order to prepare for the risks of traffic accidents.
Trying to solve the problems, this study set out to develop a system that could be effectively used to promote safe driving and prevent traffic accidents by installing a safety facility in an area of frequent traffic accidents and measuring the pedestrian and vehicle speed and signal recognition.
The system was Window OS-based with the Oracle DMBS as the database and connected to a wireless communication network for its performance on a PC.
The remote monitoring system developed in the study was designed to minimize the system load of communication server since the data processing speed was of top importance. It was also developed to gather the status information of facilities installed in the field in real time and thus build a database.
The study applied the proposed remote monitoring system to the field and analyzed the results. The system was able to predict the life cycle of each safety facility by analyzing the operational state of each facility in real time and calculating the capacity of consumption and production power and generate such effects as the prevention of traffic accidents, optimized maintenance, and support for budget decisions.