Abstract:
RDE is becoming a necessary element of the emissions certification of automotive vehicles. Real Driving Emissions (RDE)
helps to ensure that the regular operation of a car, or heavy
vehicle, is still within the acceptable emissions standards
while driving under normal conditions. RDE is monitored
by connecting a Portable Emissions Measurement System
(PEMS) to the exhaust of the tested vehicle, which measures the pollutant concentrations as the car or truck drives
along a standardised route. The data described in this paper
is the raw, detailed PEMS records of a heavy goods vehicle,
recorded at a rate of 1Hz, over multiple trips on an urban
route in South Africa. The data includes the pollutant concentrations of CO, CO2, NO and NO2, ambient conditions, and
vehicle diagnostics collected from different sensors mounted
to the vehicle during the field tests. We performed no additional analysis on the data. The value of the data is in allowing researchers to (a) develop and test machine learning
algorithms that predict the instantaneous pollutant concentrations or (b) studying the variance of pollutant concentrations that occurs under typical driving conditions
