Impact of Multi-Dimensional Features on Fuel Consumption Considering the Heterogeneous Effects of Road Characteristics

Author:

Pang Qianqian1ORCID,Chen Shuyan1ORCID,Ma Yongfeng1ORCID,Xing Guanyang1,Liu Hongru1,Liang Biao2

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China

2. Nanjing Sample Technology Company Limited, Nanjing, China

Abstract

Analyzing the influencing factors of fuel consumption helps to formulate reasonable energy-saving measures to reduce the fuel consumption. This paper examines the influence of multi-dimensional features on fuel consumption. Then, fuel consumption under different road characteristics is modeled based on correlation analysis and multiple linear regression methods. Finally, the heterogeneous effects of road characteristics on fuel consumption are analyzed by comparing different models. The result shows significant differences in the influencing factors of fuel consumption under different road characteristics. In addition, the same factor has different effects on fuel consumption under different road characteristics. Driving experience positively affects fuel consumption at intersections and two-way four-lane roads; in contrast, there is a negative effect in two-way six-lane roads. Drivers who agree that “we will experience a major ecological catastrophe if things continue on their present course” have lower fuel consumption at intersections and higher on two-way four-lane and six-lane roads. Higher acceleration leads to higher fuel consumption at intersections and lower fuel consumption at two-way four-lane and six-lane roads. Traffic congestion leads to reduced fuel consumption at intersections and two-way four-lane roads and increased fuel consumption at two-way six-lane roads. These results reveal the heterogeneous effects of road characteristics on fuel consumption, which are helpful in analyzing the influence mechanism of fuel consumption and provide a reference for formulating reasonable measures of energy conservation and emission reduction.

Publisher

SAGE Publications

Reference29 articles.

1. Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach

2. International Energy Agency. Improving the Sustainability of Passenger and Freight Transport, 2022. https://www.Iea.Org/Topics/Transport. Accessed 5 November 2023.

3. Ministry of Ecology and Environment. China Mobile Source Environmental Management Annual Report, 2022, pp. 1–60. https://www.Mee.Gov.Cn/Hjzl/Sthjzk/Ydyhjgl/202212/T20221207_1007111.Shtml. Accessed 8 November 2023.

4. Reducing fuel consumption and carbon emissions through eco-drive training

5. The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial

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