Management Model for the Reduction of Particulate Matter Emission Peaks Supported by Sensor Networks and Energy Resources of Electric Vehicles
摘要
This article proposes a management model that facilitates the reduction of environmental pollution rates using a network of monitoring stations with low-cost sensors. This sensor network will be supported by electric vehicles (EV) equipped with portable electrostatic precipitators (PE). Methodologically, the design of the management model and its operation have been carried out based on the unified modeling language (UML), and an objective function has been proposed to determine the optimal way to use the EV resources available in the city area that requires intervention.