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Geometry-Based Matching of Routes Between Dissimilar Maps

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Challenge of Transport Telematics (TST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 640))

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Abstract

Protocols for dynamic location referencing like e.g. OpenLR and AGORA-C tackle the problem of accurately matching locations between dissimilar digital maps. While this is done with the aim of limiting the amount of descriptive data to reduce bandwidth, in some projects bandwidth is not a problem (e.g. in the EC-funded project ROSATTE, and in the DLR projects MobiLind and KeepMoving), and without constraints regarding bandwidth it might be possible to learn from methods in similar areas like road network matching and map conflation to achieve a more reliable solution. Following this path, this paper presents an approach called Geometry InterMapMatching Extension (GIMME) which has been developed in the ongoing DLR project I.MoVe, and is currently capable of mapping short routes from a TeleAtlas map to a NAVTEQ map on-the-fly, with a success rate of 99.7%, and when compared to OpenLR, with up to 28.7% more correctly decoded routes.

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Authors and Affiliations

  1. German Aerospace Center (DLR), Institute of Transportation Systems, Rutherfordstr. 2, 12489, Berlin, Germany

    Rüdiger Ebendt & Louis Calvin Touko Tcheumadjeu

Authors
  1. Rüdiger Ebendt
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  2. Louis Calvin Touko Tcheumadjeu
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Correspondence to Rüdiger Ebendt .

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Editors and Affiliations

  1. Polish Association of Transport Telem., Katowice, Poland

    Jerzy Mikulski

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Ebendt, R., Touko Tcheumadjeu, L.C. (2016). Geometry-Based Matching of Routes Between Dissimilar Maps. In: Mikulski, J. (eds) Challenge of Transport Telematics. TST 2016. Communications in Computer and Information Science, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-49646-7_30

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  • DOI: https://doi.org/10.1007/978-3-319-49646-7_30

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