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Suwardo Suwardo
Program Diploma Teknik Sipil Fakultas Teknik Universitas Gadjah Mada, Yogyakarta
Education Transportation

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Journal : Jurnal Transportasi

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BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK Kamaruddin, Ibrahim; Suwardo, Suwardo; Napiah, Madzlan; Wahyunggoro, Oyas
Jurnal Transportasi Vol 10, No 1 (2010)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.522 KB)

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
THE DETERMINATION OF BUS SERVICE FREQUENCY USING COST-BENEFIT APPROACH Suwardo, Suwardo
Jurnal Transportasi Vol 11, No 1 (2011)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (57.325 KB)

Abstract

The determination of bus service frequency using cost-benefit approach is presented in this paper. This study was conducted in Malaysia where bus operators could provide feasible bus services using this method. The investment costs include all costs for vehicle, human resources, workshop, operational facilities, andsupporting facilities while the benefits are expected from ticket fare collected and fuel subsidy. The primary data consists of passenger number, ticket fare, travel time, number of vehicles, and route length. The secondary data, provided by bus operators, include vehicle investment and operation and maintenance costs. The results indicate that this method is applicable and can be used by bus operators to provide feasible bus services with adequate frequencies.Keywords: cost-benefit analysis, bus service, service frequency.
BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK Kamaruddin, Ibrahim; Suwardo, Suwardo; Napiah, Madzlan; Wahyunggoro, Oyas
Jurnal Transportasi Vol 10, No 1 (2010)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.522 KB) | DOI: 10.26593/jt.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
THE DETERMINATION OF BUS SERVICE FREQUENCY USING COST-BENEFIT APPROACH Suwardo, Suwardo
Jurnal Transportasi Vol 11, No 1 (2011)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (57.325 KB) | DOI: 10.26593/jt.v11i1.440.%p

Abstract

The determination of bus service frequency using cost-benefit approach is presented in this paper. This study was conducted in Malaysia where bus operators could provide feasible bus services using this method. The investment costs include all costs for vehicle, human resources, workshop, operational facilities, andsupporting facilities while the benefits are expected from ticket fare collected and fuel subsidy. The primary data consists of passenger number, ticket fare, travel time, number of vehicles, and route length. The secondary data, provided by bus operators, include vehicle investment and operation and maintenance costs. The results indicate that this method is applicable and can be used by bus operators to provide feasible bus services with adequate frequencies.Keywords: cost-benefit analysis, bus service, service frequency.
Co-Authors Ibrahim Kamaruddin Madzlan Napiah Oyas Wahyunggoro