The development of Decision Support Systems using Neural Networks and Geographic Information Systems for water transportation in Chai Nat province.
Abstract
This research aims first to study water transport factors, second to study locations and transport data using geographic information technology and Third to develop the decision support program to promote water transportation using geographic information technology and neural networks. The research results were found, first in the survey conducted on water transportation from Manorom District, the beginning point of Chao Phraya River in Chai Nat province border with the Uthaithani province was a trade center antiquities. Steamer boats from Phi Chit province go down to Nakhon Sawan province and flow with the Chai Nat River Cruise along the Chao Phraya River. The boat's breakpoint was called "Khung Samphao", which had a shrine called "guan-oo" for worship by the boat owner, the crew and the passengers. Boats across the Chao Phraya River loaded buses, cars, motorcycles and people. It saves many times traveling the Chao Phraya riverside. Because Chai Nat province has three bridges across the Chao Phraya River, some water transport has small boat owners that can not exceed 15 persons. Second, record GPS of 35 water transport places carried out in the past, and now usage and water transport potential is assessed using an assessment form. Third, Implementing neural networks helps in the grouping of water transport.The evaluation, water transports have seven groups and three water transport because they have a high score of potential for water transport and analysis cost, time, distance and government office service using the ArcGIS desktop.
Full Text:
PDFReferences
Warit Mingmolee, “Rice logistics by Water,” Office
of Agricultural Economic Research[online], August
2020. Available: http://www.oae.go.th/
ewtadmin/ewt/oaebaer
.
Manisara Barameechai et al, “Factors affecting
the cost of shipping goods,” buydomain[online],January
2021. Available: http://www.logisticscorner.com
Information and Communication Technology Center,
Office of the Permanent Secretary, Ministry of
Commerce, in cooperation with Customs Department
Information Development and Services Group, “Export
value Thailand's imports and trade,” balance (monthly)
[online], May 22 2021. Available:
http://www2.ops3.moc.go.th/
Uraiphan Jenwanitchayanon., “Study of the
Development of logistics and water transportation,”
Case study: Overseas Chinese companies in Thailand,
Academic Journal, Year : 14, Issue : 28, pp. 127-152,
Information Research Center for Thailand Faculty of
Science Chulalongkorn University.(2022). Geographic
Information System[online]. Available:
www.gisthai.org/about-gis/gis.html
Suchat Udomtharak,”Study of water mass transportation.
Area in the heart of Bangkok,” Department of Urban
Design, Graduate Studies, Silpakorn University, 1979.
George P Petropoulos.,”Remote sensing and GIS analysis
for mapping spatio-temporal changes of erosion and
deposition of two Mediterranean river deltas: The case of
the Axios and Aliakmonas rivers, Greece.,”International
Journal of Applied Earth observation and Geo-
information, vol. 35 , pp. 217-228, 2015.
Zahra ZANGENEH SIRDARI., “Bedload
transport of small rivers in Malaysia,” International
Journal of Sediment Research, pp. 481- 490, 2014
Adam Abramson. ,”Decision Support System
for economic assessment of water improvements in
remote, low-resource settings,” Environmental
Modeling & Software journal, vol. 62 , pp. 197 – 209,
Chunxia Liu. ,”An improved grey neural network
model for predicting transportation disruptions.
Business School of Hunan University, Changsha,
Hunan 410082,” China. Expert Systems With
Applications, vol. 45, pp. 331–340, 2016.
Jason Brownlee.(2022). Understand the Impact of
Learning Rate on Neural Network Performance
[online]. Available:
https://machinelearningmastery.com/understand-the-
dynamics-of-learning-rate-on-deep-learning-neural-
networks/
Refbacks
- There are currently no refbacks.