Stability in Truck Driving Behaviour: A Geo-Specific Analysis

Naturalistic driving research with a focus on trucks has been gaining momentum in the past decade. With the advancement in sensor technology and access to big data, it becomes possible to understand driver behaviour at a more fundamental level. This can assist in mitigating the impact trucks have on the environment while enhancing safety....

Experimental investigation of the effects of mudflaps on wheel aerodynamics by means of a simulated moving ground

This work provides a foundation for designing aerodynamic mudflaps used in heavy-duty vehicles, which will help these vehicles become greener. First, a simulated moving ground consisting of a leading edge, roller setup and a novel tangential blowing system was devised as an alternative to the expensive conveyor belts necessary for pertinent...

Alternative fuels in heavy-duty truck transport for a sustainable future: A study assessing the feasibility ranking of hydrogen, battery electric, biodiesel HVO and LNG powered trucks in European heavy-duty transport when a JIT/JIS supply chain strategy is applied

Since the last decade, climate change and environmental awareness has received increasingly more attention from politicians and companies. In order to preserve earth’s climate, a lot has to be changed in current industry standards. In 2018, heavy-duty road transport was responsible for 680 million tonnes kg in transported commodities in the...

Modelling of Electric Powertrain for Heavy-Duty BEV

The automotive industry plays a crucial role in battling the climate crisis and reducing emissions. Medium-duty and heavy-duty vehicles alone contribute to one-fourth of global emissions in the transport sector and there is a positive trend in the demand for these vehicles. Battery Electric Trucks have the potential to transform the growing...

Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques

This study aims at a possible solution to predict the fuel consumption of heavy duty diesel trucks, particularly, the tractor semitrailer for their long haul operations using various machine learning techniques. It intends to provide a possible alternative to simulation or physics based models, which often are very complicated. The stringent...

Numerical analysis of side-skirt in dual rear axle condition

The global fuel consumption by Heavy duty vehicles is an important issue in every climate change summit. Aerodynamic drag consumes majority of fuel at highway speeds. Thus, it is important to strive hard to reduce drag using different techniques. WABCO's SideWing (side-skirt) is an air dam (aerodynamic device) placed along the sides of the...