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Toward Fast and Accurate Map-to-Map Matching of City Street Maps

Ebendt, Rüdiger and Touko Tcheumadjeu, Louis Calvin (2020) Toward Fast and Accurate Map-to-Map Matching of City Street Maps. In: 23rd IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. 23rd IEEE International Conference on Intelligent Transportation Systems, 20.-23. Sep. 2020, online (due to COVID-19 pandemic).

Full text not available from this repository.

Abstract

Frequently, various sources of geographic street-related data are covering the same space. Many geospatial traffic services require interoperability of the different datasets, which can be achieved by road network matching. A prominent use case is map conflation. More recently, the authors have suggested approaches to dynamic location referencing between maps (GIMME) and to automatic relocation of link related data in updated street maps within a framework called Map2Map. In this paper, an update on the recent progress of GIMME and Map2Map is given. Methodologically, path contraction is used to obtain a simplified version of the digital road network. This pre-processed version then augments the original network, and serves as a guide for finding routes covering the entire network, and facilitating the inter-map matching process. Path contraction also helps to reduce the complexity of the core inter-map matching method GIMME without loss in matching quality. On the conceptual side, a general strategy called calibration-preserving pre- or post-processing (C-3PO) is introduced. The aforementioned path contraction and two more post-processing methods used in Map2Map give examples for an implementation of C-3PO. Experimental results demonstrate the effectiveness of the presented approach.

Item URL in elib:https://elib.dlr.de/134883/
Document Type:Conference or Workshop Item (Speech)
Title:Toward Fast and Accurate Map-to-Map Matching of City Street Maps
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ebendt, RüdigerRuediger.Ebendt (at) dlr.dehttps://orcid.org/0000-0002-3565-7024
Touko Tcheumadjeu, Louis CalvinLouis.ToukoTcheumadjeu (at) dlr.dehttps://orcid.org/0000-0003-3415-1862
Date:2020
Journal or Publication Title:23rd IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Map-to-Map Matching, Inter-Map Matching, Data Management, Geographic Information Systems
Event Title:23rd IEEE International Conference on Intelligent Transportation Systems
Event Location:online (due to COVID-19 pandemic)
Event Type:international Conference
Event Dates:20.-23. Sep. 2020
Organizer:IEEE Intelligent Transportation Systems Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Institute of Transportation Systems > Development of system functions
Deposited By: Ebendt, Dr.rer.nat. Rüdiger
Deposited On:13 May 2020 10:45
Last Modified:19 Jun 2020 11:19

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