WIT Press


Location In Railway Traffic: Generation Of A Digital Map For Secure Applications

Price

Free (open access)

Paper DOI

10.2495/CR060461

Volume

88

Pages

10

Published

2006

Size

1,128 kb

Author(s)

F. B¨ohringer & A. Geistler

Abstract

This paper presents the modelling scheme for a digital map based on the nodelink model. To use this map in combination with a sensor system that recognises turnouts by detection and classification of their components, these reference points must be modelled as spatially expanded objects and thus the node-link model must be extended. The digital map consists of the topological and geometrical level. Both levels are modelled using the Extended Entity-RelationshipModel and hence easy implementation into a data base is given. The generation of the digital map for a small secondary line demonstrates performance of the successful modelling scheme. A location system for secure applications can be obtained by using an eddy current sensor system in combination with the proposed digital map. Keywords: digital map, node-link model, Entity-Relationship Model. 1 Introduction State-of-the-art digital maps are mainly used for non-secure planning functions or in combination with hardware installations along the track such as balises. The node-link model used in digital maps is not able to model reference points such as turnouts as spatially expanded objects [1]. A train-borne sensor system that is able to detect and classify turnouts cannot be used in combination with such maps. The aim of the digital map presented in this contribution is to introduce such reference points and to use classified turnouts to yield a track-selective location system. The remainder of this paper is organised as follows: Section 2 describes the railway infrastructure and basic structures of digital maps. The data models of the topological and geometrical level are presented in Sec. 3. The resulting digital map for a secondary line is shown in Sec. 4 while Sec. 5 concludes the paper.

Keywords

digital map, node-link model, Entity-Relationship Model.