Main characteristic parameters to describe driving patterns and construct driving cycles

Abstract

• A database of trips was built by monitoring the regular operation of 15 diesel buses. • 1140 combinations of CPs were used as assessment parameters of representativeness. • The MT method was replicated 1000 times for each combination to observe tendencies. • Avg. speed, % idling time, and acceleration’s Std Dev were identified as the main CPs. • The use of these CPs in the MT method assures the representativeness of the DCs. At present, it is unknown which set of characteristic parameters (CP i ) should be used as assessment criteria in the micro-trips method to construct driving cycles that truly represent local driving patterns and reproduce the real energy consumption and tailpipe emissions of electric and engine-powered vehicles when they are tested on a chassis dynamometer . Using 1-Hz simultaneous measurements of energy consumption, speed, and emissions from the regular operation of a vehicle's fleet, we constructed driving cycles using 1140 different combinations of CP i as assessment parameters. We reproduced the process a thousand times for each combination and observed the tendency and the dispersion of the degree of representativeness of the resulting driving cycles. We concluded that mean speed, percentage of idling time, and the standard deviation of acceleration are the CP i that must be included in the micro-trips method.