Growing Artificial Transportation Systems: A Rule-Based Iterative Design Process

Author

Li, Jinyuan ; Tang, Shuming ; Wang, Xiqin ; Duan, Wei ; Wang, Fei-Yue

Author_Institution

Lab. of Complex Adaptive Syst. for Transp., Chinese Acad. of Sci., Beijing, China

Volume

12

Issue

2

fYear

2011

fDate

6/1/2011 12:00:00 AM

Firstpage

322

Lastpage

332

Abstract

Artificial transportation systems (ATS) are an extension of traffic simulations that deal with transportation issues from the complex systems perspective in a systematic and synthetic way. A rule-based iterative ATS design process is presented in this paper, together with a prototype based on the multiagent platform-Swarm and the methods and results of computational experiments conducted on it. Both emergence-based observation and statistical analysis are used to evaluate those results. This paper demonstrates the ability of ATS to generate traffic phenomena from simple consensus rules and the possibility of designing a growing ATS with readily available multiagent tools.

Keywords

digital simulation; iterative methods; multi-agent systems; statistical analysis; traffic engineering computing; transportation; ATS; artificial transportation systems; multiagent platform; rule based iterative design process; statistical analysis; traffic simulations; Buildings; Computational modeling; Mathematical model; Pixel; Prototypes; Roads; Agents; artificial transportation systems (ATS); computational experiments; emergence-based observation; rules;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/TITS.2011.2110646

Filename

5719177