Improving aggregate behavior in parking lots with appropriate local maneuvers

Samuel Rodriguez; Andrew Giese; Nancy M. Amato

doi:10.1109/IROS.2013.6696906

Improving aggregate behavior in parking lots with appropriate local maneuvers

Samuel Rodriguez, Andrew Giese, Nancy M. Amato

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this paper we study the ingress and egress of pedestrians and vehicles in a parking lot. We show how local maneuvers executed by agents permit them to create trajectories in constrained environments, and to resolve the deadlocks between them in mixed-flow scenarios. We utilize a roadmap-based approach which allows us to map complex environments and generate heuristic local paths that are feasible for both pedestrians and vehicles. Finally, we examine the effect that some agent-behavioral parameters have on parking lot ingress and egress. © 2013 IEEE.

Original language	English (US)
Title of host publication	2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3843-3850
Number of pages	8
ISBN (Print)	9781467363587
DOIs	https://doi.org/10.1109/IROS.2013.6696906
State	Published - Nov 2013
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: This research supported in part by NSF awards CRI-0551685, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266 by THECB NHARPaward 000512-0097-2009, by Chevron, IBM, Intel, Oracle/Sun and byAward KUS-C1-016-04, made by King Abdullah University of Science andTechnology (KAUST).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1109/IROS.2013.6696906

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@inproceedings{6aecb2bad8814cc6ab618e6d1a8fcb7e,

title = "Improving aggregate behavior in parking lots with appropriate local maneuvers",

abstract = "In this paper we study the ingress and egress of pedestrians and vehicles in a parking lot. We show how local maneuvers executed by agents permit them to create trajectories in constrained environments, and to resolve the deadlocks between them in mixed-flow scenarios. We utilize a roadmap-based approach which allows us to map complex environments and generate heuristic local paths that are feasible for both pedestrians and vehicles. Finally, we examine the effect that some agent-behavioral parameters have on parking lot ingress and egress. {\textcopyright} 2013 IEEE.",

author = "Samuel Rodriguez and Andrew Giese and Amato, {Nancy M.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUS-C1-016-04 Acknowledgements: This research supported in part by NSF awards CRI-0551685, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266 by THECB NHARPaward 000512-0097-2009, by Chevron, IBM, Intel, Oracle/Sun and byAward KUS-C1-016-04, made by King Abdullah University of Science andTechnology (KAUST). This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2013",

month = nov,

doi = "10.1109/IROS.2013.6696906",

language = "English (US)",

isbn = "9781467363587",

pages = "3843--3850",

booktitle = "2013 IEEE/RSJ International Conference on Intelligent Robots and Systems",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

Improving aggregate behavior in parking lots with appropriate local maneuvers. / Rodriguez, Samuel; Giese, Andrew; Amato, Nancy M.
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 3843-3850.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Improving aggregate behavior in parking lots with appropriate local maneuvers

AU - Rodriguez, Samuel

AU - Giese, Andrew

AU - Amato, Nancy M.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUS-C1-016-04 Acknowledgements: This research supported in part by NSF awards CRI-0551685, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266 by THECB NHARPaward 000512-0097-2009, by Chevron, IBM, Intel, Oracle/Sun and byAward KUS-C1-016-04, made by King Abdullah University of Science andTechnology (KAUST). This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2013/11

Y1 - 2013/11

N2 - In this paper we study the ingress and egress of pedestrians and vehicles in a parking lot. We show how local maneuvers executed by agents permit them to create trajectories in constrained environments, and to resolve the deadlocks between them in mixed-flow scenarios. We utilize a roadmap-based approach which allows us to map complex environments and generate heuristic local paths that are feasible for both pedestrians and vehicles. Finally, we examine the effect that some agent-behavioral parameters have on parking lot ingress and egress. © 2013 IEEE.

AB - In this paper we study the ingress and egress of pedestrians and vehicles in a parking lot. We show how local maneuvers executed by agents permit them to create trajectories in constrained environments, and to resolve the deadlocks between them in mixed-flow scenarios. We utilize a roadmap-based approach which allows us to map complex environments and generate heuristic local paths that are feasible for both pedestrians and vehicles. Finally, we examine the effect that some agent-behavioral parameters have on parking lot ingress and egress. © 2013 IEEE.

UR - http://hdl.handle.net/10754/598582

UR - http://ieeexplore.ieee.org/document/6696906/

UR - http://www.scopus.com/inward/record.url?scp=84893719213&partnerID=8YFLogxK

U2 - 10.1109/IROS.2013.6696906

DO - 10.1109/IROS.2013.6696906

M3 - Conference contribution

SN - 9781467363587

SP - 3843

EP - 3850

BT - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Improving aggregate behavior in parking lots with appropriate local maneuvers

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Bibliographical note

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