Jurnal Transportasi
Vol 13, No 3 (2013)

APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA

., Resdiansyah (Unknown)
., Ircham (Unknown)
Sandjoko, Otto (Unknown)



Article Info

Publish Date
10 Feb 2015

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.

Copyrights © 2013






Journal Info

Abbrev

journaltransportasi

Publisher

Subject

Transportation

Description

Jurnal Transportasi adalah jurnal ilmiah di bidang ilmu transportasi yang diterbitkan tiga kali setahun oleh Forum Studi Transportasi antar-Perguruan Tinggi (FSTPT). Makalah-makalah yang dimuat di jurnal ini merupakan makalah-makalah terbaik dari Simposium FSTPT yang diadakan setiap tahun. Selain ...