Semi-Automatic Extraction of Geometric Elements of Curved Ramps from Google Earth Images

Mohammed AL-Qadri, Jianchuan Cheng and Yunlong Zhang
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Mohammed AL-Qadri: School of Transportation, Southeast University, Nanjing 211189, China
Jianchuan Cheng: School of Transportation, Southeast University, Nanjing 211189, China
Yunlong Zhang: Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA

Sustainability, 2022, vol. 14, issue 2, 1-16

Abstract: Generating and updating roadway geometric elements from aerial images is necessary for multiple geospatial information system purposes, which have been addressed through various approaches. However, most existing methods cannot deal with challenges such as differently curved ramp characteristics, whereas measurements of geometric elements are still of low effectiveness and accuracy. This paper presents a new method for the semi-automatic extraction of horizontal parameters of curved highway ramps using Google Earth images. The proposed method first determines a road centerline manually using a graphics editor software; the file is then saved and processed with a program that analyzes and splits the centerline into its basic components. After that, the curvature analysis and linear fitting methods are integrated for automatic PC and PT determination. Finally, at the post-processing stage, the radii of the curves are computed automatically using the least-squares method. The proposed method was tested on four highway ramps and validated by comparison with the obtained design plans. Results show that the proposed method successfully detected the curves’ PC/PT and measured their radii with a high degree of accuracy.

Keywords: roadway ramp; horizontal curve; GE images; curvature; least-squares method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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