Crowdsourcing turning-restrictions from map-matched trajectories

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• 作者：Alexandros Efentakis^a ; ^{efentakis@imis.athena-innovation.gr} ; Nikos Grivas^a ; ^{grivas@imis.athena-innovation.gr} ; Dieter Pfoser^b ; ^{dpfoser@gmu.edu} ; Yannis Vassiliou^c ; ^{yv@cs.ntua.gr}
• 关键词：Crowdsourcing ; Turning restrictions ; Map-matching ; OpenStreetMaps
• 刊名：Information Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：221-236
• 全文大小：3841 K
• 卷排序：64

文摘

The availability of GPS-enabled devices has generated massive amounts of GPS tracking data produced by vehicles traversing the road-network. While initially used for improving traffic estimation and routing, only recently has this data been used for map-construction efforts. This work focuses on the specific aspect of identifying turning restrictions in the underlying road-network graph. We propose a novel, efficient and straightforward method to deduce turning restrictions for OpenStreetMap data, by mining historic map-matched trajectories from an existing fleet-management service. Our extensive experimental evaluation and verification process utilizing online map-services, satellite imagery, street view and public map-data APIs proves the efficiency and reliability of the proposed method.