Title :
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
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;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4469-2
DOI :
10.1109/BCGIN.2012.206
