For accident surveillance and traffic flow conditions, CCTV cameras are installed on bridges. However, their effectiveness is diminished remarkably in a thick fog. Despite heavy fog, our proposed system can detect a car crash on the bridges and propagate accident information to other drivers as quickly as possible to reduce the accident rate and casualties. We designed our system not only to detect car crashes and propagate accident information to reduce accident rate, but also to acquire traffic information and atmospheric information. The Safe & Intelligent Bridges System collects RFID (Radio Frequency Identification) Tag data by using RFID middleware called ALE (Application Level Event). Its interface provides independence between infrastructure components that acquire the raw EPC data, architectural components that filter and count the data, and applications that use the data. This allows changes in one without requiring changes in the other, offering significant benefits to both providers and end-users. It is also able to work together with the USN (Ubiquitous Sensor Network) to implement the ITS (Intelligent Transport System) based on event-driven development framework. We show that our system in the RFID environment provides a novel way to manage traffic systems safely and efficiently by complementing problems in the current traffic system.
