Statistical Determination of Local Driving Cycles Based on Experimental Campaign as WLTC Real Approach

In the context of a transport sustainability, some solutions could be proposed from the integration of many disciplines, architects, environmentalists, policy makers, and consequently it may be addressed with different approaches. These solutions would be applied at different geographical levels, i.e. national, regional or urban scale. Moreover, the assessment of cars emissions in real use plays a fundamental role for their reductions. This is also the direction of the new harmonized test procedures (WLTP). Furthermore, it is fundamental to keep in mind that the new WLTC cycle will reproduce a situation closer to the reality comparing to the EUDC/NEDC driving cycle. In this paper, we will be focused on vehicle kinematic evaluation aimed at valuation of traffic situation and emissions. For this purpose, driving data and emissions were acquired during an experimental campaign through six instrumented vehicles by PEMS for the simultaneous acquisition of emissions, kinematic variables and GPS localization data. Moreover, the analyzed vehicles have different type approval classes and different displacements. At this time, we present a different statistical approach to classify the pieces of speed parts in order to identify typical traffic situation and their emission evaluation. Finally, apply some statistical criteria, and going in the same direction of WLTC, a driving cycle composed by a succession of speed parts was built.