Evacuation guide system based on massively multiagent system
نویسندگان
چکیده
Using ubiquitous devices such as multifunctional cellular phones and PDAs, we can build a large-scale navigation system for evacuation in the metropolis. Although current navigation systems simply broadcast the same instructions over a large area, the required function is to provide individualized instructions to each user. Our approach is to build a navigation system based on multiagent system which assigns one guide agent to each user. In the system, a guide agent can provide personalized navigation instructions depending on its owner’s surrounding circumstances. We implemented Mega-Navigation system using massively multiagent platform, called Caribbean/Q. Our Mega-Navigation system, which is currently able to work for evacuation in the city of Kyoto, can catch evacuees’ position and offer instructions through GPS-capable cellular phone.
منابع مشابه
Outdoor Evacuation Experiment Augmented by Massively Multiagent Simulation
The spread of mobile terminals like cellular phones and PDAs, and positioning systems like GPS, will realize a ubiquitous environment for citydwellers. Ubiquitous/pervasive computing systems in the public space often interact with anonymous users. A large-scale evacuation navigation system, which is an example of socially embedded system, is selected as a target application in this research. An...
متن کاملA Participatory Agent-Based Simulation for Indoor Evacuation Supported by Google Glass
Indoor evacuation systems are needed for rescue and safety management. One of the challenges is to provide users with personalized evacuation routes in real time. To this end, this project aims at exploring the possibilities of Google Glass technology for participatory multiagent indoor evacuation simulations. Participatory multiagent simulation combines scenario-guided agents and humans equipp...
متن کاملModel Reference Adaptive Control Framework for Real Time Traffic Management under Emergency Evacuation
Recent natural or man-made disasters around the world have provided compelling evidence that transportation system plays a crucial role in the emergency evacuation and have stressed the need for effective evacuation traffic management to maximize the utilization of the transportation system and to minimize fatalities and losses. This paper presents a model reference adaptive control (MRAC) fram...
متن کاملA Multiagent Reinforcement Learning algorithm to solve the Community Detection Problem
Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...
متن کاملEgress Online: Towards leveraging massively, multiplayer environments for evacuation studies
Large datasets of real human behaviors are of huge benefit across numerous domains, including evacuation safety, urban planning, marketing, and ergonomics. However, because large-scale experiments involving real human subjects are expensive and prohibitively difficult to organize, such datasets are scarce. Thus in this paper, we propose the use of massively multiplayer online (MMO) communities ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008