Chapter
Aug 30, 2023
Research on the Relationship between Fuel Economy and Driving Behavior of Heavy-Duty Vehicles
Authors: Shuai-Qi Zhang [email protected], Ting Xu [email protected], Chong Peng [email protected], Jing-Tao Wang [email protected], and Shu-Zhen Wang [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
In order to study the influence of heavy-duty vehicle driving behavior on fuel economy, this paper collected the on-board diagnostics (OBD) data of vehicle driving on a circular urban arterial road. After data preprocessing, the kinematic segments were divided, and the characteristic parameter values were defined. Principal component analysis was used to reduce the dimension of the values. Then K-means clustering algorithm was carried out to classify driving behavior based on traffic and operating conditions. The cumulative fuel consumption and running time under the two conditions were analyzed. Finally, the abnormal driving behavior is defined, and the regression analysis of its impact on fuel consumption was carried out. The research shows that different traffic and operating conditions have a direct impact on vehicle fuel consumption per hundred kilometers, which can comprehensively evaluate the relationship between vehicle driving behavior and fuel economy.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Analysis (by type)
- Data collection
- Diagnosis
- Driver behavior
- Energy consumption
- Energy engineering
- Energy sources (by type)
- Engineering fundamentals
- Forensic engineering
- Fuels
- Infrastructure
- Methodology (by type)
- Non-renewable energy
- Regression analysis
- Research methods (by type)
- Statistical analysis (by type)
- Structural engineering
- Traffic accidents
- Traffic engineering
- Traffic management
- Transportation engineering
- Vehicle impacts
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Affiliations
1College of Transportation Engineering, Chang’an Univ. of Xi’an, China. Email: [email protected]
2Dept. of Transportation, College of Transportation Engineering, Chang’an Univ. of Xi’an, China. Email: [email protected]
3College of Transportation Engineering, Chang’an Univ. of Xi’an, China. Email: [email protected]
4College of Transportation Engineering, Chang’an Univ. of Xi’an, China. Email: [email protected]
5College of Transportation Engineering, Chang’an Univ. of Xi’an, China. Email: [email protected]
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