STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS

Authors : Esin Mukul, Gülçin Büyüközkan, Merve Güler

Pages : 148-158

Doi:10.14514/byk.m.26515393.2019.sp/148-158

View : 18 | Download : 15

Publication Date : 2019-10-01

Article Type : Research

Abstract :Transportation is one of the most critical factors affecting the economic development and welfare of a country. Effective transport systems create socio-economic opportunities and benefits by facilitating access to markets, jobs, and investments. Moreover, transportation shows a rapid change in today's world of globalization and economic growth. With the rapid development of information and technology, the demand for higher, faster, safer, and more comfortable transportation is emphasized. On the other hand, with the development of the automotive industry, increased vehicle traffic volumes cause congestion, delays, travel time, resource consumption, environmental problems, and accidents. Systems need to be designed to be more efficient, effective, safe, and economical to reduce these adverse outcomes of transportation systems and meet user demands. For this reason, the concept of "Intelligent Transportation Systems (ITS)" has emerged. ITS provide economic, environmental, and socially sustainable solutions, in particular by ensuring that information is accessed quickly and efficiently. The analysis of ITS are very complicated since it has many conflicting objectives and many different criteria. Multi-criteria decision-making (MCDM) is a powerful tool widely used for solving this type of problems. Therefore, in this study, we aim to propose a strategic analysis of ITS by using MCDM methods. In the proposed methodology, ITS criteria are weighted with fuzzy Analytic Hierarchy Process (AHP) and fuzzy Evaluation Based on Distance from Average Solution (EDAS) is used to select the most appropriate ITS strategy. Finally, an application is provided to demonstrate the potential use of the proposed methodology
Keywords : Fuzzy logic, intelligent transportation systems, MCDM methods, strategic analysis