Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
This article examines and evaluates the systems view of the concept of the collision avoidance early warning system (will be referred to as “the early warning system” in all further instances) which uses traffic accident data and data mining algorithms. Principles of the General Systems Theory are used in describing the system and elaborating upon its attributes.
Connections to other current telematic systems and its location in the hierarchy of state traffic safety units are discussed steadily and gradually in the article.
It also describes the principles of the collision avoidance early warning system, along with its inputs and outputs and the elements and connections it is formed out of.
With regard to the principles of the General Systems Theory isomorphism’s are searched for and the feedback and the goals of the system are discussed within.
