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
932-937
Osowski, Chris
b0fb24fd-58a1-43e5-ad8f-8903f932b97e
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
June 2015
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, .
(doi:10.1016/j.procs.2015.05.168).
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.
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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
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Date deposited: 25 Jun 2015 13:14
Last modified: 15 Mar 2024 02:58
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Author:
Chris Osowski
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