… Adverse impacts of the transportation sector on not only air … Today, the transportation sector
is powered by burning the fossil-… , three machine learning algorithms (deep learning (DL), …

… model was created using a variety of machine learning approaches, and the accuracy of
the … , training the model using a machine learning algorithm and then assessing the model’s …

… measures and policies to address the sector’s environmental impact. … transport sector,
potentially informing future policy decisions aimed at emission reduction and sustainable transport …

… unexplored for Saudi Arabia’s transportation energy modeling. Considering the mentioned
… -based machine-learning scheme for modeling the energy demand in the transport sector of …

… above problems is the transportation sector [2,3]… machine learning could be applied to
support managers when making informed decisions while developing Sustainable Transportation …

… are such sectors as intelligent transportation, cybersecurity, … the integration of machine learning
(ML) and deep learning (DL). … Machine learning and deep learning are two core subfields …

… transportation sector. According to another study presented in 2009, energy consumption
in Turkey was predicted until 2020 using ANN with GDP and energy consumption variables in …

… The study [21] predicted the energy demand and GHG emissions in the transportation
sector by three machine learning algorithms (DL, SVM, ANN) until 2050. Another study [16] …

… techniques to enhance the smart transportation sector [26]. The main focus of this research
… of machine learning techniques to predict CO 2 emissions from the transport sector to …

… of statistical and machine learning methods for forecasting CO2 emissions from energy,
transport and manufacturing sectors of Pakistan and provide sector wise CO2 mitigation …