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Air pollution generated by road traffic in large cities is a great concern in today’s society since pollution has an important
impact on human health, even causing premature deaths. To address the problem, this paper presents an Intelligent
Transportation System model based on Complex Event Processing technology and Colored Petri Nets (CPNs). It takes into
consideration the levels of environmental pollution and road traffic, according to the air quality levels accepted by the
international recommendations as well as the handbook emission factors for road transport methodology. This proposal,
therefore, tackles a common problem in today’s large cities, where traffic restrictions must be applied due to environmental
pollution. CPNs are used in this work as a tool to make decisions about traffic regulations, so as to reduce pollution levels
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