An investigation of fuel-consumption for heavy-duty vehicles based on their driving patterns

With the growing energy requirements, it is important to understand the impacts of driving patterns on fuel-consumption. This study is aimed at investigating the quantification effects of driving patterns such as distance travelled, instantaneous speed, hard braking, hard accelerating, and engine idle timings on fuel-consumption of heavy-duty vehicles. The telematics data from a leading logistics firm in Thailand was collected for three different types of vehicles (i.e., 6-W NGV, 18-W NGV, and 18-W-Diesel) over a period of two months. Stepwise regression modeling approach was employed to predict fuel-consumption. The results showed that average error between the predicted and measured fuel-consumption was 12.02%, 7.07% and 12.85% for 6-W NGV, 12-W NGV, and 12-W Diesel vehicles, respectively. This research study shows that regression modelling can be used to observe the quantification impacts of real-world driving patterns in heavy-duty vehicle on fuelconsumption.