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Madzlan Napiah
University Teknology Petronas Malaysia
Transportation

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BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK Ibrahim Kamaruddin; Suwardo Suwardo; Madzlan Napiah; Oyas Wahyunggoro
Jurnal Transportasi Vol. 10 No. 1 (2010)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.522 KB) | DOI: 10.26593/jtrans.v10i1.370.%p

Abstract

This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon. Data collected include bus travel time, distance, average speed, and number of bus stop. The results show that bus travel time is well predicted using variables of distance, average speed, and number of bus stops. The bus travel time increased due to the increase of distance and number of bus stops, while the higher the average speed from one stop to another, the lower bus travel time.Keywords: bus travel time prediction, distance, average speed of bus, number of bus stop
Co-Authors Ibrahim Kamaruddin Oyas Wahyunggoro Suwardo Suwardo