DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study

Meghana Kshirsagar, Meghana Kshirsagar, Gauri Vaidya, Gauri Vaidya, Shravani Rajguru, Pruthviraj Jadhav, Hrushabh Kale, Nishanth Shanmugam, Conor Ryan, Conor Ryan, Vivek Kshirsagar

2022

Abstract

This article explores assessing the impact of the decarbonisation of the transport sector using an evidence-based approach incorporating data analysis and advanced machine learning (ML) modelling. We investigate the radical behavioural and societal changes needed for the decarbonisation of the transport sector in Ireland. We perform a study through our system DECArbonisation in Road Transport (DECART), a suite of statistical and time series ML models for facilitating policy making, monitoring and advising governments, companies and organisations in the transport sector. Based on data analysis and through scenario-modelling approaches, we present alternatives to policy and decision makers to achieve goals in mitigation of carbon emissions in road transport. The models depict how changes in mobility patterns in road transport affect CO2 emissions. Through insights obtained from the models, we infer that renewable energy in Ireland has the potential for meeting the growing electricity needs of electric vehicles. Experimentation is conducted on real-world datasets such as traffic, motor registrations, and data from renewable sources such as wind farms, for building efficient ML models. The models are validated in terms of accuracy, based on their potential to capture hidden insights from real-world events and domain knowledge.

Paper Citation

in Harvard Style

Kshirsagar M., Vaidya G., Rajguru S., Jadhav P., Kale H., Shanmugam N., Ryan C. and Kshirsagar V. (2022). DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study. In Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-572-2, pages 157-164. DOI: 10.5220/0011087100003203

in Bibtex Style

@conference{smartgreens22,
author={Meghana Kshirsagar and Gauri Vaidya and Shravani Rajguru and Pruthviraj Jadhav and Hrushabh Kale and Nishanth Shanmugam and Conor Ryan and Vivek Kshirsagar},
title={DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study},
booktitle={Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2022},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011087100003203},
isbn={978-989-758-572-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study
SN - 978-989-758-572-2
AU - Kshirsagar M.
AU - Vaidya G.
AU - Rajguru S.
AU - Jadhav P.
AU - Kale H.
AU - Shanmugam N.
AU - Ryan C.
AU - Kshirsagar V.
PY - 2022
SP - 157
EP - 164
DO - 10.5220/0011087100003203