The National Academies

NCHRP IDEA 20-30/IDEA 185 [Completed (IDEA)]

CurvePortal for Automated Identification and Extraction of Horizontal Curve Information
[ NCHRP 20-30 (NCHRP-IDEA) ]

  Project Data
Funds: $100,000
Staff Responsibility: Inam Jawed
Research Agency: University of Wisconsin-Madison
Principal Investigator: Madhav Chitturi and David Noyce
Effective Date: 7/1/2015
Fiscal Year: 2015

This project developed a prototype of CurvePortal, a web interface for automatically extracting horizontal curve location and geometric information from GIS roadway maps using an improved curve data extraction algorithm (CurveFinder). The concept of the algorithm is to use the directional offsets of successive line vertices to identify and categorize roadway curves.  Model Inventory of Roadway Elements (MIRE) curve types and MIRE horizontal curve elements, including curve length, radius, degree of curvature, direction, etc. (except for superelevation) were incorporated and their compatibility validated. The CurveFinder algorithm was improved, especially its accuracy when applied on low-quality GIS roadway maps. Additional automation features were incorporated to enhance CurveFinder’s efficiency and accuracy. A prototype CurvePortal was developed that transportation agencies could access to upload their GIS roadway shapefiles for curve data extraction. The CurvePortal is hosted on WisTransPortal, an online transportation data portal at the University of Wisconsin–Madison. Technology transfer efforts have been initiated with several state DOTs that have expressed interest in using CurveFinder/CurvePortal.

The final report is available.

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