An Algorithm for Road Closure Detection from Vehicle Probe Data

Author:

Pietrobon Davide1,Lewis Andrew P.1,Heverly-Coulson Gavin S.1

Affiliation:

1. HERE Technologies, Berkeley, CA, USA

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Computer Science Applications,Modelling and Simulation,Information Systems,Signal Processing

Reference23 articles.

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1. Understanding the Semantics of GPS-based Trajectories for Road Closure Detection;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

2. Will there be a construction?;Proceedings of the 30th International Conference on Advances in Geographic Information Systems;2022-11

3. RoadNote: Automated Road Closure Detection using Urban Sensing;2022 IEEE 8th World Forum on Internet of Things (WF-IoT);2022-10-26

4. Road Closure Detection based upon Multi-feature Fusion;Proceedings of the 29th International Conference on Advances in Geographic Information Systems;2021-11-02

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