Machine learning models developed from real-world data can inherit potential, preexisting
bias in the dataset. When these models are used to inform decisions involving human …

Conventional speed planning for connected automated vehicles (CAVs) adopts an energy-
centric perspective and improves fuel economy by means of reducing the power loss due to …

Intelligent cruise control with traffic preview introduces a potential to adjust the vehicle
velocity and improve fuel consumption and emissions. This paper presents tradeoffs …

Cold start emissions of exhaust gas pollutants in current generation gasoline internal
combustion engine (ICE) comprise the most significant quantity of regulated exhaust …

This study presents a semi-empirical modeling approach based on an extensive parametric
study using a spark-ignition port-injection engine. The experimental results are used to …

Speed planning in a vehicle-following scenario can reduce vehicle fuel consumption even
under limited traffic preview and in moderate penetration of connected autonomous vehicles …

This work presents an application of the optimal control theory to find trade offs between fuel
consumption and pollutant emissions (CO, HC, NOx) of sustaining hybrid vehicles. Both cold …

The emerging application of autonomous driving provides the benefit of eliminating the
driver from the control loop, which offers opportunities for safety, energy saving and green …

Modern diesel engines are equipped with aftertreatment systems which are effective at
reducing tailpipe hydrocarbon and oxides of nitrogen (NOx) emissions when the system's …

Increased forms of connectivity in vehicles creates opportunities to use route, traffic, and
other forms of data to inform powertrain control decisions to achieve better fuel economy …