The Design of Route Planning for Travel Demand based on Fuzzy Multi Valued Bayesian Network
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For recent decades, as transportation means and environment are converged with intelligent technology, the importance of technologies using them is increasing. Route planning methods that can recommend efficient routes to users have been studied. Most of Route planning methods are to find the shortest path from the starting point to destination. They are focusing on searching a route that minimize distance, time and cost issues. However in order to maximize user satisfaction, it is necessary to consider not only the distance, time and cost issues, but also the purpose of travel when we use the transportation system. In this work, considering travel demand, purpose, internal/external infrastructure, road congestion and user’s preference, we proposed travel demand based Fuzzy Multi Valued Bayesian Network which has the functions of route extraction, selection of optimal route according to the user’s demand & travel purpose and Bayesian revision by new information. The proposed system was tested with the traveling data.
Abstract
For recent decades, as transportation means and environment are converged with intelligent technology, the importance of technologies using them is increasing. Route planning methods that can recommend efficient routes to users have been studied. Most of Route planning methods are to find the shortest path from the starting point to destination. They are focusing on searching a route that minimize distance, time and cost issues. However in order to maximize user satisfaction, it is necessary to consider not only the distance, time and cost issues, but also the purpose of travel when we use the transportation system. In this work, considering travel demand, purpose, internal/external infrastructure, road congestion and user’s preference, we proposed travel demand based Fuzzy Multi Valued Bayesian Network which has the functions of route extraction, selection of optimal route according to the user’s demand & travel purpose and Bayesian revision by new information. The proposed system was tested with the traveling data.
참고문헌 (10)
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