With the increasing demand of passenger and freight air transportation and their key role in
energy consumptions, this study developed a hybrid framework integrating machine …

Current emission models primarily focus on traditional combustion vehicles and may not
accurately represent emissions from the increasingly diverse vehicle fleet. The growing …

In the European Green Deal, EU Commission has set a goal to reduce greenhouse gas
emissions in the transport sector by 90% by 2050 compared to the 1990 level. Most likely …

On-board diagnostics (OBD) data contain valuable information including real-world
measurements of vehicle powertrain parameters. These data can be used to gain a richer …

Road traffic flow forecasting is among the most important use case associated with smart
cities. Traffic forecasting allows drivers to select the fastest route towards their target …

As the country with the largest anthropogenic CO 2 emission, China is greatly influential on
fighting with climate change. However, CO 2 emitted from on-road vehicles in China is a …

Public transport buses are heavy-duty vehicles that travel through the city from morning till
night, which emits a large number of greenhouse gases. Understanding and estimating the …

Nitrogen oxide (NOx) emissions play an important role in the study of diesel engine pollutant
emissions. This study introduces the long short-term memory (LSTM) neural network to …

This study tested exhaust emissions and fuel consumption for a hybrid electric vehicle (HEV)
in real-world conditions using a portable emissions measurement system (PEMS). A …

Accurate instantaneous vehicle emissions models are vital for evaluating the impacts of road
transport on air pollution at high temporal and spatial resolution. In this study, we apply …