Araştırma Makalesi

STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS

1 Ekim 2019
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STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS

Öz

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

Anahtar Kelimeler

Kaynakça

  1. Ayağ, Z. (2005). A Fuzzy AHP-Based Simulation Approach To Concept Evaluation In A NPD Environment. IIE transactions, 37(9), 827-842.
  2. Bacciu, D., Carta, A., Gnesi, S., &Semini, L. (2017). An Experience In Using Machine Learning For Short-Term Predictions In Smart Transportation Systems. Journal of Logical and Algebraic Methods in Programming, 87, 52-66.
  3. Bask, A., Spens, K., Stefansson, G., &Lumsden, K. (2009). Performance Issues Of Smart Transportation Management Systems. International Journal of Productivity and Performance Management.
  4. Büyüközkan, G., and Çifçi, G. (2012). A Combined Fuzzy AHP And Fuzzy TOPSIS Based Strategic Analysis Of Electronic Service Quality In Healthcare Industry. Expert systems with applications, 39(3), 2341-2354.
  5. Catapult. (2014). Exploring Intelligent Mobility.
  6. Civitas. (2015). Intelligent Transport Systems And Traffic Management In Urban Areas, Policy Note.
  7. Dia, H., Panwai, S. (2014, December). Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport. In 2014 IEEE Fourth International Conference on Big Data and Cloud Computing (pp. 625-632). IEEE.
  8. Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., &Turskis, Z. (2016). Extended EDAS Method For Fuzzy Multi-Criteria Decision-Making: An Application To Supplier Selection. International Journal of Computers Communications & Control, 11(3), 358-371.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Ekim 2019

Gönderilme Tarihi

3 Eylül 2019

Kabul Tarihi

30 Eylül 2019

Yayımlandığı Sayı

Yıl 2019

Kaynak Göster

APA
Mukul, E., Büyüközkan, G., & Güler, M. (2019). STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS. Beykoz Akademi Dergisi, 148-158. https://doi.org/10.14514/byk.m.26515393.2019.sp/148-158
AMA
1.Mukul E, Büyüközkan G, Güler M. STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS. Beykoz Akademi Dergisi. Published online 01 Ekim 2019:148-158. doi:10.14514/byk.m.26515393.2019.sp/148-158
Chicago
Mukul, Esin, Gülçin Büyüközkan, ve Merve Güler. 2019. “STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS”. Beykoz Akademi Dergisi, Ekim 1, 148-58. https://doi.org/10.14514/byk.m.26515393.2019.sp/148-158.
EndNote
Mukul E, Büyüközkan G, Güler M (01 Ekim 2019) STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS. Beykoz Akademi Dergisi 148–158.
IEEE
[1]E. Mukul, G. Büyüközkan, ve M. Güler, “STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS”, Beykoz Akademi Dergisi, ss. 148–158, Eki. 2019, doi: 10.14514/byk.m.26515393.2019.sp/148-158.
ISNAD
Mukul, Esin - Büyüközkan, Gülçin - Güler, Merve. “STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS”. Beykoz Akademi Dergisi. 01 Ekim 2019. 148-158. https://doi.org/10.14514/byk.m.26515393.2019.sp/148-158.
JAMA
1.Mukul E, Büyüközkan G, Güler M. STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS. Beykoz Akademi Dergisi. 2019;:148–158.
MLA
Mukul, Esin, vd. “STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS”. Beykoz Akademi Dergisi, Ekim 2019, ss. 148-5, doi:10.14514/byk.m.26515393.2019.sp/148-158.
Vancouver
1.Esin Mukul, Gülçin Büyüközkan, Merve Güler. STRATEGIC ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEMS. Beykoz Akademi Dergisi. 01 Ekim 2019;148-5. doi:10.14514/byk.m.26515393.2019.sp/148-158

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