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Multi-agent Approach for Return Route Support System Simulation

We propose a system that supports stranded commuters caused by a large-scale disaster. When a large-scale 
 
disaster breaks out, buildings may collapse and roads may be damaged and the public transportation systems 
 
would be paralyzed. Thus, people working in the city center have to walk back home on foot. The problem is 
 
that when those people start walking, the situation along the routes for returning home may be different from 
 
that of the pre-disaster. Not only may it be the first time for most of them to walk home, but also the return 
 
route may be extremely complex due to many detours. They have to look for alternative routes whenever 
 
bridges collapse and fires break out. Making situation become worse, modern people intensively use 
 
navigation systems, those systems may be unavailable due to the paralyzed Internet. A large scale disaster 
 
may destroy base stations of wireless phones, and even if it does not completely destroy them, extreme 
 
congestion may paralyze the communication infrastructure so that not only net-surfing using smartphone, but 
 
also collecting information by e-mail may become impossible. To deal with such situations, we are designing 
 
a system that provides those unfortunate pedestrians appropriate return routes to their homes without 
 
depending on the communication infrastructures. Instead, our proposed system only depends on smartphones 
 
of those pedestrians and constructs mobile ad hoc networks (MANET) to collect and disperse useful 
 
information. We employ multiple mobile agents extensively for information collection and dispersion. In 
 
order to demonstrate the feasibility of our system, we have constructed a preliminary prototype of the 
 
simulation system and have conducted numerical experiments.