STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS

Year 2019, , 148 - 158, 01.10.2019

Esin Mukul Gülçin Büyüközkan Merve Güler

https://doi.org/10.14514/byk.m.26515393.2019.sp/148-158

Cited By: 3

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

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