Driving behavior impact on emissions of light-duty gasoline vehicle based on portable emission measurement system
1. College of Transportation Engineering, Chang′an University, Xi′an, Shaanxi 710064, China； 2. Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Xi′an, Shaanxi 710064， China; 3. T. Y. Lin International Engineering Consulting (China) Co., Ltd., Chongqing 401120， China
Abstract： To quantify the multidimensional characteristics of driving behavior and corresponding emission characteristics, the portable emission measurement system(PEMS) was used to collect the emissions and microscopic driving behaviors data. The relationship between driving behavior and lightduty gasoline vehicle emission was analyzed. The driving segments were divided into two categories of ecodriving and nonecodriving, and five ecodriving behavior identification models were established based on logistic regression, Naive Bayes, decision tree, support vector machine and BP neural network, respectively. The results show that when the road traffic tends to be saturated or forced, the driving behavior of drivers and the driving activities change significantly. The change of driving activities leads to the significant increasing of emission factor in saturated flow and forced flow. The driving operation intensity, the driving mode duration and the driving mode transfer frequency have impact on the pollutant emission. The model based on decision tree has high accuracy of 94.00%.
