TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Intelligent algorithms for multi-modal network problems

Accession Number:

01372735

Record Type:

Component

Abstract:

The multi-modal network has a great role in urban transportation networks in which travelers apply several modes such as subway, bus, feeder, walking and etc. Some of the most applicable problems in multi-modal transportation networks are network design, scheduling and routing. This paper briefly introduces these problems and their applications in traffic management systems such as ATMS and ATIS. Almost all of these problems are known as Np-hard so intelligent algorithms such as neural networks, ant colony or genetic algorithms may be used to solve these problems in real time. The authors give an example of a multi-modal routing problem and try to use an intelligent algorithm to find reasonable paths in an urban transportation network. The results are given to demonstrate the effectiveness of the proposed algorithm on several random networks. It is possible to pursue the same approach to design of integrated transportation networks for a large city including all of the components of sustainable transportation. Also, hierarchical scheduling through the multi-modal network can be proposed by the same intelligent algorithm, which saves the network experiences.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Transportation Network Modeling

Monograph Accession #:

01362476

Report/Paper Numbers:

12-2913

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ghatee, Mehdi
Niksirat, Malihe
Hashemi, S Mehdi

Pagination:

10p

Publication Date:

2012

Conference:

Transportation Research Board 91st Annual Meeting

Location: Washington DC, United States
Date: 2012-1-22 to 2012-1-26
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Ant colony optimization

Geographic Terms:

Tehran (Iran)

Subject Areas:

Design; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2012 Paper #12-2913

Files:

TRIS, TRB

Created Date:

Feb 8 2012 5:13PM