2015
DOI: 10.1007/s00371-015-1110-2
|View full text |Cite
|
Sign up to set email alerts
|

A path-based multi-agent navigation model

Abstract: The quality of a crowd simulation model is determined by its agents' local and global trajectory efficiency. While an agent-based model can accurately handle the local trajectories, global decisions usually are handled by a global path planner. However, most of the global path planning techniques do not consider other agents and their possible paths and the future global flow in the environment. In this paper, we propose a composite system that takes future agent configurations into account via a modified A* a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(12 citation statements)
references
References 27 publications
0
12
0
Order By: Relevance
“…We performed the tests for three different k values corresponding to 0.1, 0.3, and 0.5, similar to the original study . In the following sections, these three different versions are referred to as P 1 , P 3 , and P 5 , respectively.…”
Section: Experiments and Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…We performed the tests for three different k values corresponding to 0.1, 0.3, and 0.5, similar to the original study . In the following sections, these three different versions are referred to as P 1 , P 3 , and P 5 , respectively.…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…We use RVO for the local navigation purposes in the minisimulations. As widely known, RVO may cause the agents to significantly deviate from their route to avoid collisions when they come across large groups moving in a different direction . This flaw is negligible in the real simulation as the proposed method (assuming it works as expected) encourages the agents to move in a flow with the other agents for most of the time.…”
Section: System Overviewmentioning
confidence: 96%
See 2 more Smart Citations
“…Three papers by Barut and Haciomeroglu [9], Che et al [10] and Ozcan and Haciomeroglu [11] are about crowd simulation. The four other papers by Lee et al [12], Kim et al [13], Hartmann et al [14] and Choi et al [15] focus on the problem of human motion synthesis and retargeting.…”
Section: Articles In This Issuementioning
confidence: 99%