Mapping low-resolution edges to high-resolution paths: the case of traffic measurements in cities

Fuente: arXiv
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Main Authors: Legay, Bastien, Latapy, Matthieu
Format: Preprint
Published: 2024
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author Legay, Bastien
Latapy, Matthieu
author_facet Legay, Bastien
Latapy, Matthieu
contents We consider the following problem : we have a high-resolution street network of a given city, and low-resolution measurements of traffic within this city. We want to associate to each measurement the set of streets corresponding to the observed traffic. To do so, we take benefit of specific properties of these data to match measured links to links in the street network. We propose several success criteria for the obtained matching. They show that the matching algorithm generally performs very well, and they give complementary ways to detect data discrepancies that makes any matching highly dubious.
format Preprint
id arxiv_https___arxiv_org_abs_2401_08539
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mapping low-resolution edges to high-resolution paths: the case of traffic measurements in cities
Legay, Bastien
Latapy, Matthieu
Social and Information Networks
Physics and Society
We consider the following problem : we have a high-resolution street network of a given city, and low-resolution measurements of traffic within this city. We want to associate to each measurement the set of streets corresponding to the observed traffic. To do so, we take benefit of specific properties of these data to match measured links to links in the street network. We propose several success criteria for the obtained matching. They show that the matching algorithm generally performs very well, and they give complementary ways to detect data discrepancies that makes any matching highly dubious.
title Mapping low-resolution edges to high-resolution paths: the case of traffic measurements in cities
topic Social and Information Networks
Physics and Society
url https://arxiv.org/abs/2401.08539