Parallel public transport system and its application in the evacuation of large-scale activities

Author

Zhu, Fenghua ; Chen, Songhang ; Lv, Yisheng ; Ye, Peijun ; Xiong, Gang ; Dong, Xisong

Author_Institution

State Key Lab. for Manage. & Control of Complex Syst., Inst. of Autom., Beijing, China

fYear

2012

fDate

16-19 Sept. 2012

Firstpage

102

Lastpage

107

Abstract

ACP (Artificial societies, Computational experiments, and Parallel execution) approach is adopted by our method to build parallel public transport system (PPTS). The framework of PPTS is proposed and some components are analyzed. Two key steps in building up PPTS are discussed. The first is growing up artificial public transport system from bottom up using agent-based technology. The second is implementing schedule plans of public vehicles using cloud computing. One specific PPTS is established for Guangzhou 2010 Asian Games. Its effectiveness is verified and illustrated by comparing the traffic parameters between before and after the employment.

Keywords

automated highways; cloud computing; multi-agent systems; parallel algorithms; scheduling; sport; ACP approach; Guangzhou 2010 Asian Games; PPTS; agent-based technology; artificial public transport system; artificial society-computational experiment and parallel execution approach; cloud computing; intelligent transportation systems; large-scale activity evacuation; parallel public transport system; public vehicle schedule plans; traffic parameters; Artificial intelligence; Computational modeling; Games; Object oriented modeling; Schedules; Vehicles; ACP approach; agent; computational experiment; parallel public transport system (PPTS);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on

Conference_Location

Anchorage, AK

ISSN

2153-0009

Print_ISBN

978-1-4673-3064-0

Electronic_ISBN

2153-0009

Type

conf

DOI

10.1109/ITSC.2012.6338866

Filename

6338866