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Daily practice, but also research, show that poor indoor air quality (IAQ) is a serious problem in many  vehicles. In this work we present an approach to the evaluation of air quality in car cabin. It consists in IAQ  classification. We focussed on defining classes in a way which may be useful for improving air quality  during a trip. In order to assure the provision of objective information, IAQ classes are specified with  reference to measurable parameters of indoor air. The parameters: temperature, relative humidity, CO2  concentration and VOC content indicator are considered jointly. Class assignment is realized on a software  level, based on the measurement data provided by the sensor module located inside car cabin. The final  announcement received by the driver refers to the class of indoor air. It informs about: thermal conditions,  air humidity and air freshness. These components correspond to the capabilities of air handling system in  the car and they were included in the message to provide hints for improving air quality. The information is  delivered in real time. We believe, the implementation of the presented approach will contribute to the  improvement of car microenvironment upon driving.

Classification of Air Quality Inside Car Cabin using Sensor System