Fuzzy logic modelling of routechoice in a transportation network
Başlık çevirisi mevcut değil.
- Tez No: 851672
- Danışmanlar: DR. OSKAR EİKENBROEK, PROF. DR. ERİC VAN BERKUM
- Tez Türü: Yüksek Lisans
- Konular: Otomotiv Mühendisliği, Trafik, Ulaşım, Automotive Engineering, Traffic, Transportation
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2023
- Dil: İngilizce
- Üniversite: University of Twente
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 84
Özet
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Özet (Çeviri)
Transport systems are one of the driving forces of economic and social development of societies. With the growing world economy and the increase in efficiency in manufacturing techniques over the years, automobiles have become affordable, and their number has increased rapidly. The increasing number of automobiles causes economic losses and social disturbances due to air pollution and noise pollution as well as traffic congestion. While these problems that arise in cities that cannot plan their infrastructure well are worsening day by day, the cost of the investment required for the solution of the problems that arise has been increasing. While developed countries aim to minimise the effects of increasing traffic-related problems by allocating more financial and human resources to plan urban transport infrastructures by taking into account the changing circumstances, developing countries face important problems such as economic and well-trained human resources in both planning and implementation of plans. Understanding the route choices of road users in urban transport network planning is very important in terms of optimum use of the existing network capacity, understanding the deficiencies in the transport network, and deciding in which direction the infrastructure investments should be made. One of the most frequently used methods to understand the route choices of a road user is based on the comparison of the utilities of route alternatives to the road user. Quantifying the utility of a route to the road user is not easy since route choice is influenced by a wide range of factors, such as traffic safety, travel time, environmental factors, habits, etc. Logit and probit models are frequently used to estimate the utility of route alternatives. Although logit and probit models have various advantages, they have significant disadvantages in the application phase. Depending on the increase in the number of parameters considered in the logit model, the number of data should also increase in order to establish a reliable model. The probit model, on the other hand, requires mathematically complex operations, and its application requires experience and qualification. For this purpose, it is aimed to develop a model that can be used in small and medium-sized transport networks of developing countries by eliminating the disadvantages of logit and probit models, has low data dependency, is mathematically simple, linguistic expressions can be easily digitised, gives results quickly, and is easy to modify. The proposed model is a fuzzy logic model used to solve problems involving ambiguity. The fuzzy model is used in cases where a feature does not take a certain value and has applications in various engineering disciplines.
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