Assessing the impact of multi-dimensional driving behaviors on link-level emissions based on a Portable Emission Measurement System (PEMS)

Eco-driving is designed to reduce fuel consumption and emissions by the improvement of driving behaviors. The objective of this work is to propose some eco-driving behavior suggestions by analyzing the impact of driving behaviors on vehicle emissions. A Portable Emission Measurement System (PEMS) was used to collect emissions and microscopic driving behavior data. Then the multi-dimensional characteristics of driving behaviors and corresponding link-level emission characteristics were quantified. The results show that the vehicle activities change significantly when the road traffic tends to be saturated or forced. The change of driving behavior and associated vehicle activities leads to the significant increase of emission factor in saturated flow and forced flow. Traditional eco-driving advice advocates using the highest gear as much as possible to reduce fuel consumption. But the results indicate that using the highest gear can achieve a savings in CO2 while at a cost in NOX. If the time percentage of the highest gear increase by 54%, the CO2 emission factors will reduce by 22% while NOX will increase by 14%. Then a total of six factors were extracted to characterize driving behaviors. The statistical analysis shows that not only the driving operational intensity have an impact on the emissions factors but also the durations and frequencies of individual maneuver states will affect emissions. Decision tree algorithm was used to identify eco-driving behaviors. Finally, a model with 97% accuracy was put forward. The conclusions are helpful to improve traditional eco-driving strategies.

Automated summary

The study utilizes a Portable Emission Measurement System (PEMS) to collect data and analyze the impact of driving behaviors on emissions, proposing eco-driving suggestions. Results show that changes in driving behaviors under saturated and forced flow significantly affect emission factors.