An Asymmetric Intelligent Model for Public Transportation Networks

Author

Ehsanfar, Abbas ; Farzinfard, Sina ; Isaai, Mohammad Taghi

Author_Institution

Grad. Sch. of Manage. & Econ., Sharif Univ. of Technol., Tehran

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

511

Lastpage

516

Abstract

This paper proposes an asymmetric model for urban public transportation networks. Predictive techniques are being developed, to allow advanced modeling and comparison with historical baseline data. The current trend is toward fewer costly microprocessor modules with hardware memory management and real-time operating systems. This model is formulated as a linear programming problem using LP-solvers and is developed and simulated for a large metropolitan area of Tehran, Iran. The mathematical procedure as its quantitative results is presented.

Keywords

linear programming; operating systems (computers); traffic engineering computing; LP-solvers; asymmetric intelligent model; hardware memory management; linear programming problem; microprocessor modules; predictive techniques; real-time operating systems; urban public transportation networks; Hardware; Intelligent networks; Linear programming; Memory management; Microprocessors; Operating systems; Predictive models; Real time systems; Transportation; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2111-4

Electronic_ISBN

978-1-4244-2112-1

Type

conf

DOI

10.1109/ITSC.2008.4732542

Filename

4732542