As emissions regulations for transportation become stricter, it is increasingly important to
develop accurate nitrogen oxide (NO x) emissions models for heavy-duty vehicles. However …

It is important to assess environmental impact of intelligent transportation systems, and
hence developing a vehicle emission model with high accuracy has been a long-standing …

Air pollution is a primary concern, causing around 7 million premature deaths annually, with
traffic-related sources contributing 23%–45% of emissions. While several studies have …

Deep learning has been used to predict engine phenomena that are otherwise difficult to
predict using conventional modeling approaches. Previous studies using deep learning for …

With the advent of hybrid electric vehicles, computer-based vehicle simulation becomes
more useful to the engineer and designer trying to optimize the complex combination of …

Energy conservation is one of the central challenges for the transportation system today. A
variety of microscopic vehicle fuel consumption models have been developed to support eco …

Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of
America (USA). The fuel economy of heavy-duty vehicles (HDV) is affected by several real …

It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …

The actual driving condition and fuel consumption rate gaps between lab and real-world are
becoming larger. In this paper, we demonstrate an approach to determine the most …

Creating accurate emission models capable of capturing the variability and dynamics of
modern propulsion systems is crucial for future mobility planning. This paper presents a …