Massive Multiagent-Based Urban Traffic Simulation with Fine-Grained Behavior Models

被引：2

作者：

Hattori, Hiromitsu ^{[1
]}

Nakajima, Yuu ^{[1
]}

Yamane, Shohei ^{[1
]}

机构：

[1] Kyoto Univ, Grad Sch Informat, Sakyo Ku, Yoshida Honmachi, Kyoto 6068021, Japan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2011年 / 15卷 / 02期

基金：

日本学术振兴会;

关键词：

multiagent-based simulation; traffic simulation; human behavior modeling;

D O I：

10.20965/jaciii.2011.p0233

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As it is getting easier to obtain reams of data on human behavior via ubiquitous devices, it is becoming obvious that we must work on two conflicting research directions for realizing multiagent-based social simulations; creating large-scale simulations and elaborating fine-scale human behavior models. The challenge in this paper is to achieve massively urban traffic simulations with fine-grained levels of driving behavior. Toward our objective, we show the design and implementation of a multiagent-based simulation platform, that enables us to execute massive but sophisticated multi-agent traffic simulations. We show the capability of the developed platform to reproduce the urban traffic with a social experiment scenario. We investigate its potential to analyze the traffic from both macroscopic and microscopic viewpoints.

引用

页码：233 / 239

页数：7

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