Analysis of Nitrogen Oxide Emission Characteristics of Heavy-Duty Refrigerated Trucks Based on Remote Monitoring Data

In order to study the emissions and fuel consumption characteristics of heavy-duty refrigerated trucks, and to explore the driving characteristics and patterns of actual road vehicles, the first step is to calculate the vehicle's nitrogen oxide emission factor to characterize the monthly nitrogen oxide emissions of the vehicles, and investigate the macroscopic patterns of emissions over time. Furthermore, the impact of vehicle speed and driving aggressiveness on emissions is explored by using the K-means clustering analysis method to classify and analyze three types of actual driving conditions of refrigerated trucks based on the difference in speed and acceleration. The results show that lower winter ambient temperatures have an adverse effect on vehicle emissions, and the impact of speed on emissions tends to stabilize when the average speed is between 30 km/h and 50 km/h. The increase in nitrogen oxide concentration caused by vehicle acceleration and deceleration leads to poorer emission conditions. Finally, the results of the K-means clustering analysis also confirm that driving aggressiveness has an impact on vehicle emissions.