Massive Multi-Agent Simulation in 3D

Aoyagi, Masaru; Namatame, Akira

doi:10.1007/3-540-32391-0_37

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…A simulation environment for massive systems is proposed in [3] which is capable of coping with 3D environments. In [15] an approach to qualitative spatial orientation reasoning in 3-dimensional spatial environment is proposed.…”

Section: Spatial Multi Agent Systems and Their Coordinationmentioning

confidence: 99%

Virtual Spring-Based 3D Multi-Agent Group Coordination

Daneshvar

Shih

2012

Unifying Themes in Complex Systems VII

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As future personal vehicles start enjoying the ability to fly, tackling safe transportation coordination can be a tremendous task, far beyond the current challenge on radar screen monitoring of the already saturated air traffic control. Our focus is on the distributed safe-distance coordination among a group of autonomous flying vehicle agents, where each follows its own current straight-line direction in a 3D space with variable speeds. A virtual spring-based model is proposed for the group coordination. Within a specified neighborhood radius, each vehicle forms a virtual connection with each neighbor vehicle by a virtual spring. As the vehicle changes its position, speed and altitude, the total resultant forces on each virtual spring try to maintain zero by moving to the mechanical equilibrium point. The agents then add the simple total virtual spring constraints to their movements to determine their next positions individually. Together, the multi-agent vehicles reach a group behavior, where each of them keeps a minimal safe-distance with others. A new safe behavior thus arises in the group level. With the proposed virtual spring coordination model, the vehicles need no direct communication with each other, require only minimum local processing resources, and the control is completely distributed. New behaviors can now be formulated and studied based on the proposed model, e.g., how a fast driving vehicle can find its way though the crowd by avoiding the other vehicles effortlessly 1 .

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Section: Spatial Multi Agent Systems and Their Coordinationmentioning

confidence: 99%