Modeling and Analyzing Transportation Systems Based on ACP Approach

被引：0

作者：

Zhu, Fenghua ^{[1
]}

Wang, Fei-Yue ^{[1
]}

Li, Runmei ^{[2
]}

Lv, Yisheng ^{[1
]}

Chen, Songhang ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100080, Peoples R China

[2] Beijing Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

来源：

2011 14TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2011年

基金：

中国国家自然科学基金;

关键词：

ACP approach; artificial transportation systems (ATS); computational experiment; agent; simple-is-consistent; MANAGEMENT; WEATHER; DEMAND;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The ACP (Artificial societies, Computational experiments and Parallel execution) approach has provided us an opportunity to look into new methods in addressing transportation problems from new perspectives. In this paper, we present our works and results of applying ACP approach in modeling and analyzing transportation system, especially carrying out computational experiments based on artificial transportation systems. Two aspects in the modeling process are analyzed. The first is growing artificial transportation system from bottom up using agent-based technologies. The second is modeling environment impacts in simple-is-consistent principle. Finally, two computational experiments are carried out on one specific ATS, Jinan ATS, and numerical results are presented to illustrate the applications of our method.

引用

页码：2136 / 2141

页数：6

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