Spline-Based Multiregime Traffic Stream Models

A methodological framework for developing multi-regime traffic stream models using B-spline regression is presented in this study. The new method is a data-driven approach, which does not presume any linearity and monotone at any regime, and non-linearity is automatically taken into account. The paper chooses up to quadratic B-spline as basis functions for fitting a three-regime speed-occupancy relationship. The determination of number of regimes is justified based on cluster analysis, trade-off between model accuracy and model complexity, and domain knowledge of traffic flow. The benefits of the new method include good data fitting performance, model flexibility and preservation of smoothness of the developed multi-regime traffic stream models.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Sun, Lu
  • Zhou, Jie
  • Zhang, Yong
• Conference:
  • Transportation Research Board 88th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2009-1-11 to 2009-1-15
• Date: 2009

Language

• English

Media Info

• Media Type: DVD
• Features: Appendices; Figures; Maps; References; Tables;
• Pagination: 31p
• Monograph Title: TRB 88th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Operations; Regression analysis; Splines; Traffic data; Traffic flow; Traffic models
• Uncontrolled Terms: Multiregime simulation; Traffic regimes
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01126634
• Record Type: Publication
• Report/Paper Numbers: 09-2398
• Files: TRIS, TRB
• Created Date: Apr 17 2009 9:56AM