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An Algorithm for Road Closure Detection from Vehicle Probe Data

Published:25 July 2019Publication History
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Abstract

We developed an algorithm for automatically detecting road closures by monitoring vehicle probe data. The algorithm applies to a large class of roads and in the implementation presented was optimized for lower-volume roads. It is suitable for batch as well as real-time applications, the latter class being the most valuable to guarantee a continuously up-to-date traffic product. The algorithm compares the likelihood that every road segment meeting certain requirements is closed or open, and it triggers an alert whenever the likelihood of the observed probe activity is too small given a historical model. We implemented the algorithm and tested it on 12 metro areas in Western Europe. After optimizing parameters for performance on lower-volume roads, we obtained a precision of 92% on those roads and of 80% overall.

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      cover image ACM Transactions on Spatial Algorithms and Systems
      ACM Transactions on Spatial Algorithms and Systems  Volume 5, Issue 2
      Special Issue on Urban Mobility: Algorithms and Systems
      June 2019
      133 pages
      ISSN:2374-0353
      EISSN:2374-0361
      DOI:10.1145/3350424
      Issue’s Table of Contents

      Copyright © 2019 ACM

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      New York, NY, United States

      Publication History

      • Published: 25 July 2019
      • Revised: 1 April 2019
      • Accepted: 1 April 2019
      • Received: 1 December 2018
      Published in tsas Volume 5, Issue 2

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