An Operating Speed Model for the Uniform-Speed Section of Interchange Ramps

Interchange ramp operation is an important part of the highway operating speed system. The uniform-speed prediction model is one of the most important parts of the ramp. This paper examines the prediction model and fitting method for the uniform-speed section of interchange ramp. First, the authors analyzed the influence factor and applicability of current models, and four prediction model equations are determined from the perspective of mechanical balance equation. Second, they obtained a linear regression model with variable transformation to predict the operating speed of the uniform speed section of the ramp. Then, they verified the fitting formula and determined its validity through data computation. Finally, the accuracy of the model is verified by actual observation data. The results show that the average relative errors of large and small vehicles were 7.4% and 7.2%, respectively, which verifies that this model has real world applicability.

• Record URL:
  • https://doi.org/10.1061/9780784482292.276
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Jin, Yuan-Yuan
  • Gao, Jin-Sheng
  • Wang, Zuo
  • Liu, Wei-Wei
• Conference:
  • 19th COTA International Conference of Transportation Professionals
  • Location: Nanjing , China
  • Date: 2019-7-6 to 2019-7-8
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

• TRT Terms: Highway operations; Interchange ramps; Linear regression analysis; Operating speed; Traffic speed
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01715133
• Record Type: Publication
• ISBN: 9780784482292
• Files: TRIS, ASCE
• Created Date: Aug 28 2019 5:17PM