To conserve the atmospheric environment, regulations on vehicle exhaust gas
emissions have become increasingly stringent. For Light Duty Vehicles (LDVs),
Real Driving Emission (RDE) assessments based on Portable Emission Measurement
Systems (PEMS) have been introduced. However, the application of PEMS
measurements to motorcycles presents several challenges, including reduced
measurement accuracy owing to the small engine displacement and number of
cylinders and increased motorcycle weight owing to PEMS installation. Therefore,
an alternative evaluation method that does not rely on the PEMS is required.
In this study, we developed a Random Cycle Generator (RCG) to provide an
evaluation method that can be used in a laboratory environment. The RCG enables
the evaluation of driving cycles by combining different motorcycle speed
patterns. It can generate arbitrary driving cycles that consider the average and
upper limits of regional driving characteristics, thereby enabling accurate
emission measurements to be performed in a laboratory. Thus, the RCG-based
method is considered a viable alternative to the PEMS-based RDE assessment.