Modeling Driver Speed Behavior on Horizontal Curves of Different Road Classifications

Considerable evidences have been presented by many researchers on the safety benefits of using the expected operating speed on highway alignments as a basis for alignment design. Subsequently, the design practices of many countries have adopted an operating speed approach as a replacement to the traditional design speed approach. Accordingly, considerable research efforts have been drawn worldwide to operating speed prediction over the past decades. However, most of the previous research concentrated on two-lane rural highways only, and there has been little work conducted for other road types. Some prediction models are questionable due to the bias or human errors induced by manual speed measurements. This research proposed a field experiment to analyze driver speed behavior on the most common road types in Eastern Ontario, including freeway interchanges. Speed prediction models were developed, using actual driving data, for two-lane rural highways and urban/suburban roads. The models consider driver speed behavior when negotiating horizontal curves.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Nie, Bin
  • Hassan, Yasser
• Conference:
  • Transportation Research Board 86th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2007-1-21 to 2007-1-25
• Date: 2007

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Maps; Photos; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

• TRT Terms: Alignment; Behavior; Design speed; Driver experience; Highway safety; Operating speed; Operations; Rural highways; Two lane highways
• Uncontrolled Terms: Highway alignment
• Subject Areas: Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01049543
• Record Type: Publication
• Report/Paper Numbers: 07-0782
• Files: TRIS, TRB
• Created Date: Feb 8 2007 5:22PM