The Design and Implementation of Urban Rail Transit Optimal Transfer System Based on Improved Ant Colony Algorithm

Author

Sheng, Liu ; Xiaoming, You

Author_Institution

Sch. of Manage., Shanghai Univ. of Eng. Sci., Shanghai, China

fYear

2012

fDate

12-14 Oct. 2012

Firstpage

770

Lastpage

773

Abstract

In this paper, the improved ant colony optimization algorithm is applied to solution of urban rail transit multi-mode optimal transfer. With illustration of Shanghai rail transit system, the urban rail transit multi-mode optimal transfer system is designed and developed in the visual studio environment, the main purpose of the system is to optimize transfer mode, convenient for passengers, thus effectively promote the dynamic traffic distribution, maximize traffic network transport stream.

Keywords

ant colony optimisation; rail traffic; transportation; ACS; Shanghai rail transit system; ant colony algorithm; dynamic traffic distribution; passenger convenience; traffic network transport stream maximization; transfer mode optimization; urban rail transit multimode optimal transfer system design; urban rail transit multimode optimal transfer system implementation; visual studio environment; Algorithm design and analysis; Convergence; Data models; Heuristic algorithms; Optimization; Rails; Transportation; ACS(Ant Colony System); Pheromone; Urban mass Transportation; Urban rail transit system;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-4469-2

Type

conf

DOI

10.1109/BCGIN.2012.206

Filename

6382648