With the increasing international consensus concerning the negative effects of climate
change, reducing greenhouse gases has become a higher priority in government policies …

We present a framework for autonomous driving which can learn from human
demonstrations, and we apply it to the longitudinal control of an autonomous car. Offline, we …

We propose a learning-based driver modelling approach which can identify manoeuvres
performed by drivers on the highway and predict the future driver inputs. We show how this …

Emissions during a trip often depend on transient vehicle dynamics that influence the
instantaneous engine load. Vehicle specific power (VSP) is a proxy variable for engine load …

Real-world vehicle fuel use and emission rates depend on engine load, which is quantified
in terms of Vehicle Specific Power (VSP). VSP depends on vehicle speed, acceleration, and …

In this study, the emission factors of CO 2 and CO for diesel auto-rickshaws were quantified
on rural and urban roads in Sangareddy district of Telangana state, India, under real-world …

Efforts in estimating emissions by an integration of traffic simulation models and emissions
models have become a fast-evolving research area. However, because of the lack of …

Fuel consumption and atmospheric pollution emissions of vehicles depend on driving
conditions, the characteristics of the driver and the car. The influence of driving style on the …

We propose a learning-based method for the longitudinal control of an autonomous vehicle
on the highway. We use a driver model to generate acceleration inputs which are used as a …

Transportation-related emissions are the dominant contributing source of air pollutants
today. Considering the negative impacts of transportation-related emissions on our social …