A Semantic Approach of ITS: Perspective on Road Safety

Around the globe each day billion of people depend on their free transportation systems and roadways. An ever increasing crowd on roads and the rising mobility that comes with it, nations around the world are facing a serious transportation challenge. The rapid globalization and shifts in population expansion round the clock increased with limited road system capabilities has resulted in constantly increasing mobility times, fuel consumption, environment pollution & the critical thereby reducing the efficiency of the transportation infrastructure. One of the ardent purposes behind implementation of new technology in road transport is to fight human errors that lead to accidents, and help drivers in driving tasks where machines can task more accurately than human beings. Many systems, especially driver support systems (dynamic vehicle control and crash evasion systems, speed control system, etc.) have the potential to prevent human errors, such as errors in distance keeping, lane keeping, selection of suitable speed, etc. This paper has a system tailored vision on the variety of ITS (Intelligent Transport System) applications², technologies and its different areas keeping in mind the possibility of applying artificial intelligence in terms of intelligent transport systems. The objective of it is to integrate and blend some areas and applications, decision making capability of ITS enabled vehicles using driver movement sensors & pattern recognition tools and hence better protection technologies discuss with all prospects. Furthermore, this research focuses on a wide field named Intelligent Transport Systems, discussed its resourceful applications, used technologies and its usage in different areas respectively.