In this context, we focus on traffic control in cities, taking into account the levels of environmental pollution according to the air quality levels accepted by the international recommendations. It should be simple, but capable of capturing the information required in order to take decisions about traffic regulations. It must be flexible, using parameters that characterize the traffic flow, and be able to represent different situations and random changes in the traffic flow. In general, a desirable model must meet the following requirements: propose in, where a survey of applications of IoV and big data in autonomous vehicles is presented.Ī key component for the study and development of ITS is traffic modeling, which provides a framework to better investigate and test the state of the road in real time and accurately predict future traffic. Moreover, an increase is expected in the development of ITS, integrating concepts such as big data, thus generating the new concept of Internet of Vehicles (IoV), as Xu et al. ITS has emerged as an important element for both improving human life and the modern economy, with the main objective of optimizing road traffic by managing the capacity of the roads, improving driver safety, reducing energy consumption and improving the quality of the environment, among many others things. Numerous reports have been published in order to determine the extent of the problem, and in particular this has led to the development of a new area of study, Intelligent Transportation Systems (ITS). (5 m or shorter recommended.The increase in vehicles in road traffic is a characteristic phenomenon of today’s world, which means that related problems such as traffic accidents, pollution (air and noise), long travel times, etc., are increasing in the same way.
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