The University of Southampton
University of Southampton Institutional Repository

Derivation of spatiotemporal data for cyclists (from video) to enable agent-based model calibration

Derivation of spatiotemporal data for cyclists (from video) to enable agent-based model calibration
Derivation of spatiotemporal data for cyclists (from video) to enable agent-based model calibration
Cycling, as a mode share of urban travel, is widely desired to be increased. To support the delivery of improved infrastructure, robust modelling is desired and modelling such agents demands real-world calibration. Data to enable this is expensive to obtain by conventional means.

This paper presents and demonstrates a process for the analysis of video to provide such data. This analysis yields spatiotemporal data for experimentally-observed cyclists from which velocity information (amongst other things) can be derived. With further refinement, this process can be used in the analysis of existing and future highway video data.
agent-based model, model calibration, cycling, bicycles, image processing, homography
1877-0509
932-937
Osowski, Chris
b0fb24fd-58a1-43e5-ad8f-8903f932b97e
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Osowski, Chris
b0fb24fd-58a1-43e5-ad8f-8903f932b97e
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286

Osowski, Chris and Waterson, Ben (2015) Derivation of spatiotemporal data for cyclists (from video) to enable agent-based model calibration. Procedia Computer Science, 52, 932-937. (doi:10.1016/j.procs.2015.05.168).

Record type: Article

Abstract

Cycling, as a mode share of urban travel, is widely desired to be increased. To support the delivery of improved infrastructure, robust modelling is desired and modelling such agents demands real-world calibration. Data to enable this is expensive to obtain by conventional means.

This paper presents and demonstrates a process for the analysis of video to provide such data. This analysis yields spatiotemporal data for experimentally-observed cyclists from which velocity information (amongst other things) can be derived. With further refinement, this process can be used in the analysis of existing and future highway video data.

Full text not available from this repository.

More information

e-pub ahead of print date: 3 June 2015
Published date: June 2015
Keywords: agent-based model, model calibration, cycling, bicycles, image processing, homography
Organisations: Transportation Group

Identifiers

Local EPrints ID: 377977
URI: http://eprints.soton.ac.uk/id/eprint/377977
ISSN: 1877-0509
PURE UUID: 11d49dbd-6a53-4c71-bd0d-17929318d908
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 25 Jun 2015 13:14
Last modified: 20 Jul 2019 01:12

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×