Modeling the Speed, Acceleration, and Deceleration of Bicyclists for Microscopic Traffic Simulation

A number of studies have been conducted to measure the speed of bicyclists as they cross signalized intersections; however, few studies have examined acceleration and deceleration profiles of bicyclists. In this study, the authors calibrate and evaluate four acceleration and deceleration models found in the literature, using trajectory data from a sample of 1,030 bicyclists uninfluenced by other bicyclists. The four models are: 1) constant; 2) linear decreasing; 3) two-term sinusoidal; and 4) polynomial. Among the authors' findings are the discovery that the polynomial model provides the most flexibility and yields the most consistently low root mean square error (RSME) values for all acceleration states.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/20782681
• Authors:
  • Twaddle, Heather
  • Grigoropoulos, Georgios
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Tables;
• Pagination: pp 49-54, 59
• Serial:
  • Accident Reconstruction Journal
  • Volume: 29
  • Issue Number: 1
  • Publisher: National Association of Professional Accident Reconstruction Specialists
  • ISSN: 1057-8153
  • Serial URL: https://www.napars.org/

Subject/Index Terms

• TRT Terms: Acceleration (Mechanics); Bicycling; Cyclists; Deceleration; Mathematical models; Microscopic traffic flow; Speed; Traffic simulation; Vehicle trajectories
• Uncontrolled Terms: Root mean square error
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01712865
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2019 11:03AM