Autors: Miletiev, R. G., Yordanov, R. S., Damyanov, I. S.
Title: AQI monitoring system for intelligent transport systems
Keywords: The intelligent transport systems (ITS)

Abstract: 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

References

    Issue

    46th International Spring Seminar on Electronics Technology (ISSE), 2023, Romania, DOI: 10.1109/ISSE57496.2023.10168384

    Цитирания (Citation/s):
    1. Estimation of Air Quality Index using AI and ML Techniques, DOI 10.1109/ICSCNA58489.2023.10370690 - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: постер/презентация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science