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A Path-Based Distance for Street Map Comparison

Published: 29 July 2015 Publication History

Abstract

Comparing two geometric graphs embedded in space is important in the field of transportation network analysis. Given street maps of the same city collected from different sources, researchers often need to know how and where they differ. However, the majority of current graph comparison algorithms are based on structural properties of graphs, such as their degree distribution or their local connectivity properties, and do not consider their spatial embedding. This ignores a key property of road networks since the similarity of travel over two road networks is intimately tied to the specific spatial embedding. Likewise, many current algorithms specific to street map comparison either do not provide quality guarantees or focus on spatial embeddings only.
Motivated by road network comparison, we propose a new path-based distance measure between two planar geometric graphs that is based on comparing sets of travel paths generated over the graphs. Surprisingly, we are able to show that using paths of bounded link-length, we can capture global structural and spatial differences between the graphs.
We show how to utilize our distance measure as a local signature in order to identify and visualize portions of high similarity in the maps. Finally, we present an experimental evaluation of our distance measure and its local signature on street map data from Berlin, Germany and Athens, Greece.

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    Published In

    cover image ACM Transactions on Spatial Algorithms and Systems
    ACM Transactions on Spatial Algorithms and Systems  Volume 1, Issue 1
    Inaugural Issue
    August 2015
    116 pages
    ISSN:2374-0353
    EISSN:2374-0361
    DOI:10.1145/2807914
    • Editor:
    • Hanan Samet
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

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    Publication History

    Published: 29 July 2015
    Accepted: 01 January 2015
    Revised: 01 October 2014
    Received: 01 June 2014
    Published in TSAS Volume 1, Issue 1

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    Author Tags

    1. Map comparison
    2. geometric graphs
    3. street maps

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    • National Science Foundation

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    • (2024)Graph Sampling for Map ComparisonACM Transactions on Spatial Algorithms and Systems10.1145/3662733Online publication date: 3-May-2024
    • (2024)Graph Sampling for Map ComparisonSpatial Gems, Volume 210.1145/3617291.3617293(1-16)Online publication date: 25-Jan-2024
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