Toshiyuki Kaneda

A Pedestrian Agent Model Using Relative Coordinate Systems

Pedestrian agent simulation is useful for not only the analysis of an accident but also designing pedestrians’ spaces. Agent Simulation of Pedestrian Flow (ASPF) has been evolved from a CA model; ASPF uses a pedestrian agent simulator with a cell space model. However, ASPF expresses an agent’s position by a cell unit, which restricts the movement of a pedestrian to only four directions; this causes unnatural behaviors of pedestrians. In addition, it does not allow individual differences in the walking speed of pedestrians. This paper is to address a pedestrian agent model — ASPF ver.3 -- using a relative coordinate system by revising ASPF ver.2, and also demonstrates the special characteristics of this model by the simulation of the intersection with straight and diagonal crosswalks in front of Shibuya Station.

Virtual Economy Simulation and Gaming - An Agent Based Approach

In this paper we analyze an economic systems as agent based bottom up models. For the purpose we introduce a small national economy called a virtual economy and an exchange algebra for state space description. We construct dynamical agent based simulation model and analyze it.

Developing a Pedestrian Agent Model for Analyzing an Overpass accident

Recent softwares have enabled us to apply pedestrian dynamics models into analyses on pedestrian accidents. The author had already developed a pedestrian dynamics model, called ASPF, based on the cell space model, that is evolved from Cellular-Automata (CA). After a couple of years’ efforts for continuous revision, we analyze the causes on an accident of Asagiri Pedestrian Overpass in 2001 even though retrospectively. In this paper, the typical existing models for pedestrian dynamics are reviewed, especially explaining on the class of cell space models. Next, ASPF (Agent Simulator of Pedestrian Flows) are explained, in that each pedestrian moves according to several behavioural rules on the cell-grid space of 40 cm side each. Based on not only the fundamental findings from the existing spatial researches but also these from the accident report, ASPF ver.2 is ‘tuned up’ carefully. ASPF ver.2 is to assess measures for managing pedestrian flows by focusing on the domino risk (density 3 to 5) that shows a symptom for the accident rather than a reconstruction of the real accident itself that had occurred at extremely high density (more than 10). The simulation results show that a two-way flow, combined with standing spectators (stoppers) can trigger an accident even on an overpass that satisfies present design standards. Moreover, we have confirmed that even simple traffic regulations such as partitions can be an effective measure to prevent a pedestrian accident.

Anti Pandemic Simulation by SOARS

Next pandemic caused by human to human outbreak of mutated H5N1 bird flu is almost inevitable. To prevent the pandemic we must take steps not only from medical point of view but also from social program point of view. In this paper we propose four categories of social protection programs. We modeled the infection process under the social activities of agents by using SOARS (Spot Oriented Agent Role Simulator). We evaluated the effectiveness of the social programs to protect the pandemic by agent based simulation. As a result we found that there exists a critical bifurcation point between eradication and spreading by controlling the combination of social protection program

Simulator Complex for RoboCup Rescue Simulation Project - As Test-Bed for Multi-Agent Organizational Behavior in Emergency Case of Large-Scale Disaster

In the RoboCup Rescue Simulation Project, several kinds of simulator such as Building-Collapse and Road-Blockage Simulator, Fire Spread Simulator and Traffic Flow Simulator are expected to provide a complicated situation in the case of the large-scale disaster through their synergistic effects. It is called Simulator Complex. This article addresses, first, system components of the prototype version of this Simulator Complex, then, explains each of the simulators and the SpaceTime GIS(Geographical Information System) as DBMS(DataBase Management System). In the demonstrations, we have shown the performance enough for a test-bed for multi-agent system development.

A Simulation Analysis of Shop-around Behavior in a Commercial District as an Intelligent Agent Approach -A Case Study of Osu District of Nagoya City-

In our on-going’ shop-around’ pedestrian agent project, the model is designed and implemented that performs planned actions as solutions of the scheduling problem under his/her own constraints, and has a reinforcement learning algorithm that updates the preference on the visited shops. In this paper, based on the data obtained from the questioning survey of Osu District in 2004, we examined the parameters and tried simulations under the conditions of this actual district. The validity was checked through the comparative analysis between the simulation and survey result. We also found further improvement works. In addition, by attempting an application to policy-case simulation, the research demonstrated the potentials of this simulation model.

Large Scale Crowd Simulation of Terminal Station Area When Tokai Earthquake Advisory Information Is Announced Officially

On the assumption of advisory information concerning an imminent Tokai earthquake being officially announced, as a case example we developed a LSCS (Large Scale Crowd Simulator) for the Nagoya Station area, where several terminal stations are concentrated; in the model, agents played people on their way home, and such factors as the routes selected by agents and the spatial restrictions, e.g. passages, were taken into consideration. Basic on SOARS (Spot Oriented Agent Role Simulator) platform, we conducted a large-scale crowd simulation with 160,000 agents and analysis the change of space density in 1 h to compare to the estimates given by Nagoya City, we analysis the result and also refer to LSCSver1.0 for implementing much higher functions.

Adding Higher Intelligent Functions to Pedestrian Agent Model

Pedestrian dynamics studies have brought the potential for application to a wide variety of urban planning field, not only crowd accident risk analysis but also simulation-oriented spatial design. Our up-versioned ASPF (Agent Simulator of Pedestrian Flows) ver.4 has newly introduced higher function such as a target maintaining (Helmsman) function, a route-choice function etc. into a pedestrian agent. In an example case of patio-shaped shopping mall, Asunal Kanayama, we have verified that pedestrian agents can walk autonomously along way points to destination points in a complicated space, and that ASPFver.4 can be a useful tool for ordinary commerce space design. We also refer to the ASSA (Agent Simulator of Shop Around) project for implementing much higher functions.

A Study on Pedestrian Flow by Using an Agent Model —A Simulation Analysis on the Asagiri Overpass Accident, 2001—

The purpose of this paper is to analyze pedestrian flows on road crossing and overpasses through applying agent-based simulation that has pedestrian’s 18 behavioral rules on cellular-automata space. As a case study of high-density flow simulation, the authors try to trace an occurrence process of the accident of Asagiri Pedestrian Overpass, Akashi City, which several news media had reported, by the ‘falling down like ninepins by confrontation flows’ hypothesis. In the low-density case, through comparing between the simulation results and the survey data, we have verified similar patterns of the pedestrian flow under our devised rule conditions. In the high-density case, under an assumption of the confrontation flows hypothesis, we verified that the point triggered the actual accident and the simulation result coincided nearly. Thus, our agent simulation has the potentials to get insightful suggestions on analyses on pedestrians’ accidents.

Evacuation Agent Simulation in an Underground Shopping Street Adding a Floor Field Approach and Its Three Dimensional Expression

This paper reports a trial of evacuation simulation for examining space design and evacuation strategy in an underground shopping street in downtown Nagoya in the case of electric lighting blackout. We evaluated the evacuation performance of the models of two different space based on the actual measurement survey of there through simulation using a floor field approach, which has both high operability and can be expected to save calculation volume, and to compare two results. Moreover, we employ 3D space expression intelligible for many stakeholders through each process of the simulations.