Moch Fachri, - (2016) Simulasi Kerumunan Menggunakan Navigasi Multiagen Berbasis Reciprocal Velocity Obstacles dengan Relasi Leader Follower. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada simulasi kerumunan, kepadatan agen dalam kerumunan me-
nimbulkan masalah dalam pergerakan agen. Hal ini mengharuskan
adanya metode navigasi khusus yang dapat memastikan manuver
penghindaran yang tidak mengakibatkan kekacauan massal tanpa
adanya komunikasi eksplisit antar agen. Untuk simulasi kerumun-
an dengan relasi leader-follower, agen follower diharuskan mampu
mengikuti leader kelompoknya. Reciprocal Velocity Obstacle (RVO)
sebagai salah satu metode navigasi multiagen tidak memerlukan ko-
munikasi eksplisit dengan agen lain dalam penghindaran, dan bebas
dari gerak osilasi yang terjadi pada Velocity Obstacle biasa. Diha-
rapkan dengan memakai RVO sebagai navigasi multiagen didapatk-
an simulasi kerumunan dengan relasi leader-follower yang bebas da-
ri tabrakan, osilasi, dan kehilangan arah.
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In crowd simulation, agents density on crowds cause problem in
agents movement. This oblige a particular navigation method that
can ensure the avoidance maneuver that does not result in mass
chaos without any explicit communication between agents. To si-
mulate the crowd with leader-follower relationships, agents follower
is expected to follow the group leader. Reciprocal Velocity Obsta-
cle(RVO) as one method of multiagent navigation does not requi-
re explicit communication with other agents in avoidance, and free
from oscillation movement that occur on regular Velocity Obstacle.
RVO usage as multiagent navigation is expected to bring out crowd
simulation with leader-follower relationship that is free of collisions,
oscillation, and loss direction
Item Type: | Thesis (Undergraduate) |
---|---|
Additional Information: | RSE 003 Fac s |
Uncontrolled Keywords: | RVO (Reciprocal Velocity Obstacle), Simulasi Keru- munan, Navigasi Multiagen |
Subjects: | Q Science > QA Mathematics > QA76.9 Computer algorithms. Virtual Reality. Computer simulation. |
Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
Depositing User: | Mr. Tondo Indra Nyata |
Date Deposited: | 02 Mar 2018 06:34 |
Last Modified: | 27 Dec 2018 02:58 |
URI: | http://repository.its.ac.id/id/eprint/51417 |
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