Research on the Relationship between Fuel Economy and Driving Behavior of Heavy-Duty Vehicles

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.

• Record URL:
  • https://doi.org/10.1061/9780784484869.018
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484869
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Shuai-Qi
  • Xu, Ting
  • Peng, Chong
  • Wang, Jing-Tao
  • Wang, Shu-Zhen
• Conference:
  • 23rd COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 178-189
• Monograph Title: CICTP 2023: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation

Subject/Index Terms

• TRT Terms: Behavior; Driver monitoring; Driver performance; Fuel conservation; Fuel consumption; Heavy duty vehicles
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01894267
• Record Type: Publication
• ISBN: 9780784484869
• Files: TRIS, ASCE
• Created Date: Sep 25 2023 9:14AM