AQI monitoring system for intelligent transport systems

The intelligent transport systems (ITS) potentially contribute towards eco-driving by reducing carbon and pollutant emissions, such as particulate matter, carbon monoxide, ozone, nitrogen dioxide and sulfur dioxide, are detrimental to the environment and human health. Nowadays the Vehicle-to-Infrastructure (V2I) communication is used in the ITS to send bi-directional an information for the lane markings, traffic congestion, weather advisories, road signs, traffic light status, etc. Simultaneously the increased level of air pollution in the cities requires real – time monitoring of the air quality, so the integrated V2I communication may be also used to send the air quality data to the remote server and the traffic infrastructure behavior and the vehicle flows to be optimized to achieve better Air Quality Index (AQI). On the basis of the vehicle information such as a vehicle type (e-car, hybrid or petrol car) and the air quality analysis the intelligent transport system may reduce the emissions by switching the operating modes of the hybrid cars or reduce the traffic speed to decrease the particulate matter emissions. The paper represents the air pollution monitoring systems for the intelligent transport systems capable of real-time monitoring based on V2I communication via cellular networks