Vehicle driving analysis in regards to fuel consumption using Fuzzy Logic and OBD-II devices

摘要

Smart City is a concept used to describe a city that uses technology in order to improve the quality of life in the urban environment. One way to contribute to the improvement of urban life is the optimized use of resources. Given the high price of gasoline in Brazil and aiming to improve the quality of urban life, we developed a mobile application that uses fuzzy logic and data read from a OBD-II Bluetooth device (ELM 327) to classify the driver in regards to the quality of vehicle conduction, in order to encourage fuel consumption reduction. The set of data to be read was defined by expert knowledge. Results show that is possible to estimate instant consumption. Experiments carried out in routine traffic situation in Aracaju/SE city have shown an accuracy of more than 85% if compared to the onboard computer information.