The development of Decision Support Systems using Neural Networks and Geographic Information Systems for water transportation in Chai Nat province.

Niyom Sutthaluang, Suntitham Chotipratoom, Songsak Vichuma

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.


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