摘要: |
The introduction of portable emission measurement system (PEMS) and the proposal of European Union real driving emission regulations (i.e., (EU) 2016/427 and (EU) 2016/646) have made micro fuel consumption investigations based on real driving data an oncoming issue. This study develops and compares three popular micro fuel consumption models based on real driving data collected by the Industrial Technology Research Institute using both ordinary least squares and quantile regression. The analysis results showed that although the most commonly adopted speed and acceleration models were simple and provided certain model fitting performance, the results were easily affected by sampling frequency. The models also suffered multicollinearity issues due to its complicated interactive terms. When high-order and interactive terms of speed and acceleration variables were replaced with vehicle specific power, the aforementioned issues could be resolved. Additionally, throttle and rpm(revolutions per minute) were found to be the most influential variables among the collected PEMS variables. To effectively reduce fuel consumption, drivers are recommended to avoid changing their throttles abruptly in non-congested traffic,and to carefully control their rpm in congested traffic. |