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Output details

11 - Computer Science and Informatics

London Metropolitan University

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Output 11 of 24 in the submission

Article title

Extracting road information from recorded GPS data using snap-drift neural network

Type

D - Journal article

DOI

10.1016/j.neucom.2008.11.032

Title of journal

Neurocomputing

Article number

Volume number

Issue number

1-3

First page of article

ISSN of journal

09252312

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0925231209002410

Number of additional authors

Additional information

<24> This paper represents a novel soft computing approach to extraction of road attributes from GPS derived vehicle data, and has wider potential application. Large scale testing and evaluation shows that the snap-drift method demonstrably scales up well and provides a feasible real-time solution. Researchers on road and street map applications using crowd sourced data and smart phones have begun to reference this work.

Interdisciplinary

Cross-referral requested

Research group

6 - Intelligence Systems Research Centre

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract