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Long-range collision avoidance for shared space simulation based on social forces

Long-range collision avoidance for shared space simulation based on social forces
Long-range collision avoidance for shared space simulation based on social forces
Shared space is an innovative approach to improve environments where both pedestrians and vehicles are present, with integrated layouts to balance priority. The Social Force Model (SFM) was used to visualise pedestrian and car trajectories so that peaks of density and pressure at critical locations are avoided. This paper extends the SFM to consider a long-range collision detection and collision resolution strategy. The determination of potential conflicts is enhanced using principle component analysis for a set of agent's prior speeds and directions. This long-range collision avoidance strategy results in more realistic SFM-based trajectories for pedestrians and cars in shared spaces.
2352-1465
318-326
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Bell, Michael G.H.
43cb125d-4892-4788-8bdf-471ee480d7e1
Angeloudis, Panagiotis
06b1b161-1d97-44b8-853a-e991e38e46d9
Ochieng, Washington Y.
d2ef44ad-f944-4216-87fd-01a5dd75dce5
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Bell, Michael G.H.
43cb125d-4892-4788-8bdf-471ee480d7e1
Angeloudis, Panagiotis
06b1b161-1d97-44b8-853a-e991e38e46d9
Ochieng, Washington Y.
d2ef44ad-f944-4216-87fd-01a5dd75dce5

Anvari, Bani, Bell, Michael G.H., Angeloudis, Panagiotis and Ochieng, Washington Y. (2014) Long-range collision avoidance for shared space simulation based on social forces. [in special issue: The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), 22-24 October 2014, Delft, The Netherlands] Transportation Research Procedia, 2, 318-326. (doi:10.1016/j.trpro.2014.09.023).

Record type: Article

Abstract

Shared space is an innovative approach to improve environments where both pedestrians and vehicles are present, with integrated layouts to balance priority. The Social Force Model (SFM) was used to visualise pedestrian and car trajectories so that peaks of density and pressure at critical locations are avoided. This paper extends the SFM to consider a long-range collision detection and collision resolution strategy. The determination of potential conflicts is enhanced using principle component analysis for a set of agent's prior speeds and directions. This long-range collision avoidance strategy results in more realistic SFM-based trajectories for pedestrians and cars in shared spaces.

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Published date: 2 October 2014
Venue - Dates: International Conference on Pedestrian and Evacuation Dynamics – PED, 2014-10-02
Organisations: Transportation Group

Identifiers

Local EPrints ID: 402944
URI: http://eprints.soton.ac.uk/id/eprint/402944
ISSN: 2352-1465
PURE UUID: e4cbc0c2-b689-434f-b3b2-56b9a9204701
ORCID for Bani Anvari: ORCID iD orcid.org/0000-0001-7916-7636

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Date deposited: 18 Nov 2016 15:30
Last modified: 15 Mar 2024 03:29

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Contributors

Author: Bani Anvari ORCID iD
Author: Michael G.H. Bell
Author: Panagiotis Angeloudis
Author: Washington Y. Ochieng

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