Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …

Abstract Machine learning method provides a promising way to predict the transient
emission characteristic of diesel engine due to its many advantages such as short …

The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …

With rapid urbanization and industrialization, the number of light-duty gasoline vehicles
(LDGVs) in China has continued to grow rapidly, leading to a significant increase in traffic …

Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly
contributes to atmospheric changes and climate disturbances. Consequently, people are …

The transportation sector is one of the primary sources of air pollutants in megacities. Strict
regulations of newly added vehicles to the local market require precise prediction models of …

In order to have an accurate and fast prediction of the artificial intelligence (AI) model, the
choice of input features is at least as important as the choice of model. The effect of input …

On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly
affected by driving conditions, which may be better predicted with the sequence deep …

Energy flow analysis is one of the most effective methods for assessing and improving
vehicle efficiency. It can provide the most effective support for the development and …

Autonomous container trucks (ACTs) contribute significantly to transportation efficiency in
ports. Their dynamics modeling is an indispensable component for constructing advanced …