Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels

The paper presents a number of vehicle dynamics models for estimating maximum vehicle acceleration levels based on a vehicle's tractive effort and aerodynamic, rolling, and grade resistance forces. In addition, typical model input parameters for different vehicle, pavement, and tire characteristics are presented. The model parameters are calibrated/validated against field data that were collected along the Smart Road test facility at Virginia Tech utilizing a truck and trailer for 10 weight-to-power configurations, ranging from 85 kg/kW to 169 kg/kW (140 lb/hp to 280 lb/hp). The model was found to predict vehicle speeds at the conclusion of the travel along the section to within 5 km/h (3.1 mi/h) of field measurements, thus demonstrating the validity and applicability of the model.

• Corporate Authors:

  Virginia Polytechnic Institute and State University, Blacksburg

  Virginia Tech Transportation Institute
  3500 Transportation Research Plaza
  Blacksburg, VA  United States  24061

  Mid-Atlantic Universities Transportation Center

  Pennsylvania State University
  201 Transportation Research Building
  University Park, PA  United States  16802-4710

  Virginia Department of Transportation

  1401 East Broad Street
  Richmond, VA  United States  23219
• Authors:
  • Rakha, Hesham Ahmed
  • Lucic, Ivana
  • Demarchi, Sergio Henrique
  • Setti, Jose Reynaldo
  • Van Aerde, Michel
  • Snare, Matthew
• Publication Date: 2006-7-1

Language

• English

Media Info

• Media Type: Print
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 72p

Subject/Index Terms

• TRT Terms: Data collection; Pavements; Speed; Tires; Tractive forces; Traffic models; Traffic simulation; Vehicle dynamics
• Identifier Terms: Virginia Smart Road
• Subject Areas: Highways; Operations and Traffic Management; Pavements; Vehicles and Equipment; I95: Vehicle Inspection;

Filing Info

• Accession Number: 01038324
• Record Type: Publication
• Report/Paper Numbers: VPI-2004-02
• Files: TRIS, STATEDOT
• Created Date: Dec 26 2006 12:45PM