Lawrence, Peter ORCID: 0000-0002-0269-0231, Pellacini, Veronica and Galea, Edwin ORCID: 0000-0002-0001-6665 (2020) The modelling of pedestrian vehicle interaction for post-exiting behaviour. In: Proceedings of Pedestrian and Evacuation Dynamics 2018. Central Library, Forschungszentrum Jülich GmbH, pp. 271-279. ISSN 2366-8539 (doi:https://doi.org/10.17815/CD.2020.60)

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Abstract

During a major evacuation of high capacity buildings, such as a tower block or transportation hub, the emergency services will need to consider the safety of the people within the vicinity of the emergency. However, in general, when assessing the safety of a building for evacuation only the behaviour within the building is considered. One method of assessing this is to utilise a computer based simulation tool. This research outlines a number of developments required to simulate the impact of traffic on the evacuation process in an urban environment in relation to post-exiting behaviour. It uses a unique data set and model capabilities for representing pedestrian-vehicle interaction post-evacuation, which also considers the impact of time pressures on decision making. In addition, a number of software developments and pedestrian behaviours are identified for bridging the behavioural gaps when interfacing an emergency pedestrian model with a traffic simulation.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of Pedestrian and Evacuation Dynamics 2018
Additional Information:	Presented on the 24th August 2018 at the 9th international conference on Pedestrian and Evacuation Dynamics August 21-24 2018 in Lund, Sweden
Uncontrolled Keywords:	pedestrian, vehicle, post-exiting behaviour, road crossing, time pressure
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Fire Safety Engineering Group (FSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/27903

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