Deep learning model based CO2 emissions prediction using vehicle telematics sensors data

M Singh, RK Dubey - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
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 …

A fuzzy logic module to estimate a driver's fuel consumption for reality-enhanced serious games

R Massoud, S Poslad, F Bellotti… - International …, 2018 - journal.seriousgamessociety.org
Reality-enhanced gaming is an emerging serious game genre, that could contextualize a
game within its real instruction-target environment. A key module for such games is the …

WSN hardware for automotive applications: preliminary results for the case of public transportation

M Baire, A Melis, MB Lodi, C Dachena, A Fanti, S Farris… - Electronics, 2019 - mdpi.com
The ubiquitous nature and great potential of Wireless Sensors Network has not yet been
fully exploited in automotive applications. This work deals with the choice of the cost …

A method of eco-driving based on intra-vehicular sensor data

PHL Rettore, AB Campolina, LA Villas… - … IEEE Symposium on …, 2017 - ieeexplore.ieee.org
The development of actions to reduce fuel consumption and emissions and increase
transportation systems' efficiency have become a huge challenge. Thus, a low-cost solution …

An Optimal Approach to Vehicular CO2 Emissions Prediction using Deep Learning

S Sahay, P Pawar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the biggest challenges faced by humanity today is climate change. Governmental
Organisations and Au-thorities all across the world, are now taking important steps to tackle …

Time-Shifted Transformers for Driver Identification Using Vehicle Data

W Govers, A Yurtman, T Aslandere… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
A modern vehicle contains a large number of electronic control units and sensors that are
connected to cloud environments. These electronic units generate a huge amount of data …

Threat modeling of connected vehicles: A privacy analysis and extension of vehiclelang

W **ong, R Lagerström - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Modern vehicles contain more than a hundred Electronic Control Units (ECUs) that
communicate over different in-vehicle networks. These ECUs are often connected to the …

[HTML][HTML] A Novel Approach to Vehicular CO2 Emission Predictive Modelling

S Sahay, PM Pawar, DN Sonawane - International Journal of Open …, 2023 - cyberleninka.ru
Climate change today is a global crisis requiring grave concern to the extent that
governments worldwide have realized that if this problem is left unmitigated, catastrophic …

Eco-friendly naturalistic vehicular sensing and driving behaviour profiling

R Massoud - 2020 - qmro.qmul.ac.uk
Internet of Things (IoT) technologies are spurring of serious games that support training
directly in the field. This PhD implements field user performance evaluators usable in reality …

Vehicular CO2 Emission Prediction Using LSTM Network

S Sahay, P Pawar, Y Wagh - … Conference on Internet and Modern Society, 2023 - Springer
Climate change has become one of the most pressing challenges confronting the global
community today. Governments worldwide are now implementing measures to address this …