Climate change is one of the greatest environmental hazards to mankind. The emission of greenhouse gases has resulted in a continuous increase in the temperature of the atmosphere leading to Global warming. CO2 continues to be the leading contributor to the greenhouse effect, with transport being a major CO2 emission source. The majority of transport emissions are from road transport i.e. vehicular emissions. To control vehicular emission, first, an efficient emission monitoring system is required. Direct sensor installation in individual vehicles is neither cost-effective nor the data is easy to collect. In this paper, a scalable vehicle CO2 emission prediction model is proposed which uses vehicle On-Board Diagnostics (OBD-II) port data. The proposed system uses real-time in-vehicle sensor data to estimate CO2 emission of the vehicle using a Recurrent neural network (RNN) based Long short-term memory(LSTM) model. OBD-II dongles can be used to easily transmit the vehicle’s sensor data to the cloud, where the LSTM model uses this data to estimate the real-time CO2 emission of the vehicle. The proposed model provides a scalable and efficient system to monitor emissions at a vehicular level and, has been evaluated using public OBD-II dataset. The details of the data collection, sensors, and adapters used along with vehicle information are outlined in Section V-A.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning Model Based CO2 Emissions Prediction Using Vehicle Telematics Sensors Data


    Beteiligte:
    Singh, Mukul (Autor:in) / Dubey, Rahul (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2023-01-01


    Format / Umfang :

    3012024 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle Telematics System Utilizing Prediction Function

    ZACK STEVEN | Europäisches Patentamt | 2021

    Freier Zugriff

    Driver Identification Using Vehicle Telematics Data

    Mohanty, Amit / Wang, Bo / Narsude, Mayur et al. | SAE Technical Papers | 2017


    Sensors for automotive telematics

    Turner, J.D. / Austin, L. | Tema Archiv | 2000


    Driver Identification Using Vehicle Telematics Data

    Wang, Bo / Panigrahi, Smruti / Narsude, Mayur et al. | British Library Conference Proceedings | 2017


    Internal vehicle telematics data access

    WEHRMAN EDWARD / MARCHWICKI JULIUS / BANDY STEVEN et al. | Europäisches Patentamt | 2016

    Freier Zugriff