Building accurate 3D spatial networks to enable next generation intelligent transportation systems

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64 Citationer (Scopus)

Abstract

The use of accurate 3D spatial network models can enable substantial improvements in vehicle routing. Notably, such models enable eco-routing, which reduces the environmental impact of transportation. We propose a novel filtering and lifting framework that augments a standard 2D spatial network model with elevation information extracted from massive aerial laser scan data and thus yields an accurate 3D model. We present a filtering technique that is capable of pruning irrelevant laser scan points in a single pass, but assumes that the 2D network fits in internal memory and that the points are appropriately sorted. We also provide an external-memory filtering technique that makes no such assumptions. During lifting, a triangulated irregular network (TIN) surface is constructed from the remaining points. The 2D network is projected onto the TIN, and a 3D network is constructed by means of interpolation. We report on a large-scale empirical study that offers insight into the accuracy, efficiency, and scalability properties of the framework.

OriginalsprogEngelsk
Artikelnummer6569130
TidsskriftProceedings - IEEE International Conference on Mobile Data Management
Vol/bind1
Sider (fra-til)137-146
Antal sider10
ISSN1551-6245
DOI
StatusUdgivet - 11 sep. 2013
Begivenhed14th International Conference on Mobile Data Management, MDM 2013 - Milan, Italien
Varighed: 3 jun. 20136 jun. 2013

Konference

Konference14th International Conference on Mobile Data Management, MDM 2013
Land/OmrådeItalien
ByMilan
Periode03/06/201306/06/2013
SponsorIEEE, IEEE Computer Society, University of Milan, ST life.augmented, IBM

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