Procedure for the Identification of Existing Roads Alignment from Georeferenced Points Database
Author(s): |
Giuseppe Cantisani
Giulia Del Serrone |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, January 2021, n. 1, v. 6 |
Page(s): | 2 |
DOI: | 10.3390/infrastructures6010002 |
Abstract: |
The aim of this research is to look for an automated, economical and fast method able to identify the elements of an existing road layout, whose original geometric design could date back to distant ages and could have undergone major modifications over the years. The analysis has been directed towards the Italian two-lane rural roads; the national public company ANAS made available its graph, obtained from high-performance surveys, that represents about 90% of these roads’ network. The graph is made up of a collection of georeferenced points but does not recognize or describe the geometric elements making up the roadway. Consequently, it has been necessary to design and develop an original procedure, subsequently implemented in a programming platform, able to identify the characteristics of the several parts, which constitute the reference axes of the existing roads. This research focuses on the horizontal geometry assessing the coherence, consistency and homogeneity of the roads’ layout, through the ex post application of the regulatory model for the design verification. If road sections are identified in which some conditions are not significantly met, further investigation should be conducted in order to ensure road safety and to plan any road upgrading activities. |
Copyright: | © 2021 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
3.9 MB
- About this
data sheet - Reference-ID
10723125 - Published on:
22/04/2023 - Last updated on:
10/05/2023