An enhanced stochastic operating cycle description including weather and traffic models

The present paper extends the concept of a stochastic operating cycle (sOC) by introducing additional models for weather and traffic. In regard to parameters, dynamic air temperature, atmospheric pressure, relative humidity, precipitation, wind speed direction are included. traffic is instead based on macroscopic approach which describes density dynamically means simple autoregressive process. enhanced format structured in hierarchical fashion, allowing ease implementation modularity. novel parametrised starting from data available external databases. possibility generating synthetic using statistical descriptors introduced also discussed. To investigate impact parameters over energy efficiency, sensitivity analysis conducted with combinatorial test design. Simulation results show that both seasonality conditions responsible major variations CO2 emissions.