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Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis

Year 2025, Volume: 9 Issue: 1, 68 - 80, 30.06.2025
https://doi.org/10.47897/bilmes.1666724

Abstract

Intelligent Transportation Systems (ITS) are among the key topics that are drawing attention in today’s rapidly evolving transportation landscape. The usage of ITS solutions is expanding globally, addressing the increasing demands for efficient, safe, and sustainable transportation systems. These systems, designed to enhance various aspects of transportation, such as traffic management, passenger information, fleet operations, and emergency response, bring both significant opportunities and challenges. In this study, a comprehensive SWOT analysis is performed on ITS architecture to evaluate its strengths, weaknesses, opportunities, and threats. The study also incorporates a risk analysis to assess the potential vulnerabilities and risks associated with the implementation and operation of ITS systems. The areas examined within the ITS architecture include passenger and driver information systems, traffic management systems, cargo and fleet management systems, public transportation systems, emergency management systems, electronic payment systems, and personal safety and security systems. Through expert opinions and a thorough review of the literature, the study aims to provide a detailed evaluation of ITS and its components. It also identifies the risks associated with ITS systems, such as technological limitations, high implementation costs, and potential security issues. By addressing these challenges and proposing strategies for mitigation, this research aims to guide future studies and support practitioners in their efforts to improve and expand ITS systems. The findings of this study provide actionable insights for the successful implementation of ITS by detailing specific weaknesses, threats, and opportunities for improvement. It also highlights the need for robust action plans that will ensure the resilience, sustainability, and long-term effectiveness of ITS solutions in the face of evolving transportation needs. This research will serve as a valuable resource for future efforts in ITS development and will contribute to the advancement of intelligent transportation solutions worldwide.

Thanks

Bu çalışma, TÜBİTAK tarafından 1919B012221312 numaralı 2209-A Üniversite Ögrencileri Arastırma Projeleri Destekleme Programı kapsamında desteklenmiştir.

References

  • J. A. Jimenez, “Smart transportation systems,” in Smart Cities, Springer, Cham, pp. 123–133, 2018.
  • B. Y. Katanalp, Z. B. Yıldırım, E. Eren, and V. E. Uz, “Akıllı ulaşım sistemleri üzerine bir değerlendirme,” in 2nd International Symposium on Innovative Approaches in Scientific Studies, SETSCI Conference Indexing System, vol. 3, pp. 1503–1506, Nov. 2018.
  • M. Tektaş, K. Korkmaz, and H. Erdal (2016). “Akıllı ulaşım sistemlerinin geleceği (ekonomik ve çevresel faydaları)”. Balkan Sosyal Bilimler Dergisi, 561-577.
  • S. Shaheen and R. Finson, “Akıllı ulaşım sistemleri,” UC Berkeley: Ulaşım Sürdürülebilirliği Araştırma Merkezi, [Online]. Available: https://escholarship.org/uc/item/3hh2t4f9, 2013.
  • M. Tektaş and N. Tektaş, “Akıllı ulaşım sistemleri (AUS) uygulamalarının sektörlere göre dağılımı,” Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, vol. 2, no. 1, pp. 32–41, 2019.
  • E. B. Meriç, “Akıllı ulaşım sistemleri (AUS) ve kalkınma ajansları,” Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, vol. 1, no. 2, pp. 33–55, 2018.
  • H. Korkmaz, “Havalimanı apron emniyeti sorunlarının belirlenmesine yönelik nitel bir çalışma: Akıllı ulaşım sistemleri çözüm önerileri,” Doctoral dissertation, Anadolu University (Turkey), p. 24, 2020.
  • C. Güven, “Akıllı ulaşım sistemleri üzerine bir sistematik literatür taraması,” Master's thesis, Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019.
  • K. N. Qureshi and A. H. Abdullah, “A survey on intelligent transportation systems,” Middle-East Journal of Scientific Research, vol. 15, no. 5, pp. 629–642, 2013.
  • S. S. Ateş and H. Korkmaz, “Havalimanı apron emniyeti sorunlarının belirlenmesine yönelik nitel bir çalışma: Akıllı ulaşım sistemleri çözüm önerileri,” Master's thesis, Anadolu Üniversitesi, 2018.
  • UDHB, U. A. U. S. S., “Belgesi (2014-2023) ve eki eylem planı (2014-2016),” TC Ulaştırma Denizcilik ve Haberleşme Bakanlığı, Ankara, 2014.
  • N. Temurçin and M. Ersoy, “Ağ altyapılarında yapay zeka tabanlı ağ trafik yönetim mekanizmalarının incelenmesi,” Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi, vol. 7, no. 1, pp. 31–40, 2023.
  • M. Yardım and G. Akyıldız, “Akıllı ulaştırma sistemleri ve Türkiye’deki uygulamalar,” 2005.
  • H. Tufan, “Akıllı ulaşım sistemleri uygulamaları ve Türkiye için bir AUS mimarisi önerisi,” Ulaştırma ve Haberleşme Uzmanlığı Tezi, TC Ulaştırma Denizcilik ve Haberleşme Bakanlığı, 2014.
  • N. Fidan, A. Karadeniz, and G. Gelişen, “Sürdürülebilir akıllı ulaşım sistemleri yönetimi: Bursa şehri incelemesi,” in 2nd International Congress of Engineering and Natural Sciences Studies (ICENSS-2022), May 2022, pp. 26–49.
  • BELBİM, BELBİM İnternet Sitesi, [Online]. Available: http://www.belbim.com.tr [Accessed: May 22, 2014].
  • Ö. Abdulkadir, A. Kadir, and K. Çağdaş, “Toplu taşımada akıllı ulaşım sistemlerinin kullanımı: Türkiye’de belediyelerin sunduğu hizmetlerin değerlendirilmesi,” Journal of Transportation and Logistics, vol. 4, no. 2, pp. 51–64, 2019.
  • M. Khan, “Risk analysis of intelligent transportation system investments,” IET Intelligent Transport Systems, vol. 3, no. 3, pp. 358–368, 2009.
  • M. Zhao, J. Walker, and C. C. Wang, “Challenges and opportunities for securing intelligent transportation systems,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 1, pp. 96–105, 2013.
  • O. Krivolapova, “Algorithm for risk assessment in the introduction of intelligent transport systems facilities,” Transportation Research Procedia, vol. 20, pp. 373–377, 2017.
  • G. Sabaliauskaite, J. Cui, L. S. Liew, and F. Zhou, “Integrated safety and cybersecurity risk analysis of cooperative intelligent transport systems,” in 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), pp. 723–728, IEEE, Dec. 2018.
  • K. B. Kelarestaghi, M. Foruhandeh, K. Heaslip, and R. Gerdes, “Intelligent transportation system security: Impact-oriented risk assessment of in-vehicle networks,” IEEE Intelligent Transportation Systems Magazine, vol. 13, no. 2, pp. 91–104, 2019.
  • V. Krundyshev and M. Kalinin, “Prevention of cyber attacks in smart manufacturing applying modern neural network methods,” in IOP Conference Series: Materials Science and Engineering, vol. 940, no. 1, p. 012011, IOP Publishing, Sep. 2020.
  • İ. Avcı, and M. Koca, “A novel security risk analysis using the ahp method in smart railway systems,”. Applied Sciences, vol. 14, no. 10, 4243, 2024.
  • Jarašūniene, “Analysis of possibilities and proposals of intelligent transport system (ITS) implementation in Lithuania,” Transport, vol. 21, no. 4, pp. 245–251, 2006.
  • E. Mitsakis, P. Iordanopoulos, G. Aifadopoulou, Y. Tyrinopoulos, and M. Chatziathanasiou, “Current status and future prospects of intelligent transport systems deployment in South East Europe,” 2014.
  • C. Namugenyi, S. L. Nimmagadda, and T. Reiners, “Design of a SWOT analysis model and its evaluation in diverse digital business ecosystem contexts,” Procedia Computer Science, vol. 159, pp. 1145–1154, 2019.
  • M. A. Benzaghta, A. Elwalda, M. M. Mousa, I. Erkan, and M. Rahman, “SWOT analysis applications: An integrative literature review,” Journal of Global Business Insights, vol. 6, no. 1, pp. 55–73, 2021.
  • M. Oturakci, C. Dagsuyu, and O. Derse, “A new fuzzy approach in risk assessment with process capability for air pollution,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 45, no. 1, 356-369, 2023.
  • İ. Avcı, “Akıllı ulaşım sistemlerinde siber saldırılar ve önlemler,” Journal of Intelligent Transportation Systems & Applications, vol. 6, no. 1, 2023.

Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis

Year 2025, Volume: 9 Issue: 1, 68 - 80, 30.06.2025
https://doi.org/10.47897/bilmes.1666724

Abstract

Intelligent Transportation Systems (ITS) are among the key topics that are drawing attention in today’s rapidly evolving transportation landscape. The usage of ITS solutions is expanding globally, addressing the increasing demands for efficient, safe, and sustainable transportation systems. These systems, designed to enhance various aspects of transportation, such as traffic management, passenger information, fleet operations, and emergency response, bring both significant opportunities and challenges. In this study, a comprehensive SWOT analysis is performed on ITS architecture to evaluate its strengths, weaknesses, opportunities, and threats. The study also incorporates a risk analysis to assess the potential vulnerabilities and risks associated with the implementation and operation of ITS systems. The areas examined within the ITS architecture include passenger and driver information systems, traffic management systems, cargo and fleet management systems, public transportation systems, emergency management systems, electronic payment systems, and personal safety and security systems. Through expert opinions and a thorough review of the literature, the study aims to provide a detailed evaluation of ITS and its components. It also identifies the risks associated with ITS systems, such as technological limitations, high implementation costs, and potential security issues. By addressing these challenges and proposing strategies for mitigation, this research aims to guide future studies and support practitioners in their efforts to improve and expand ITS systems. The findings of this study provide actionable insights for the successful implementation of ITS by detailing specific weaknesses, threats, and opportunities for improvement. It also highlights the need for robust action plans that will ensure the resilience, sustainability, and long-term effectiveness of ITS solutions in the face of evolving transportation needs. This research will serve as a valuable resource for future efforts in ITS development and will contribute to the advancement of intelligent transportation solutions worldwide.

Thanks

Bu çalışma, TÜBİTAK tarafından 1919B012221312 numaralı 2209-A Üniversite Ögrencileri Arastırma Projeleri Destekleme Programı kapsamında desteklenmiştir.

References

  • J. A. Jimenez, “Smart transportation systems,” in Smart Cities, Springer, Cham, pp. 123–133, 2018.
  • B. Y. Katanalp, Z. B. Yıldırım, E. Eren, and V. E. Uz, “Akıllı ulaşım sistemleri üzerine bir değerlendirme,” in 2nd International Symposium on Innovative Approaches in Scientific Studies, SETSCI Conference Indexing System, vol. 3, pp. 1503–1506, Nov. 2018.
  • M. Tektaş, K. Korkmaz, and H. Erdal (2016). “Akıllı ulaşım sistemlerinin geleceği (ekonomik ve çevresel faydaları)”. Balkan Sosyal Bilimler Dergisi, 561-577.
  • S. Shaheen and R. Finson, “Akıllı ulaşım sistemleri,” UC Berkeley: Ulaşım Sürdürülebilirliği Araştırma Merkezi, [Online]. Available: https://escholarship.org/uc/item/3hh2t4f9, 2013.
  • M. Tektaş and N. Tektaş, “Akıllı ulaşım sistemleri (AUS) uygulamalarının sektörlere göre dağılımı,” Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, vol. 2, no. 1, pp. 32–41, 2019.
  • E. B. Meriç, “Akıllı ulaşım sistemleri (AUS) ve kalkınma ajansları,” Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, vol. 1, no. 2, pp. 33–55, 2018.
  • H. Korkmaz, “Havalimanı apron emniyeti sorunlarının belirlenmesine yönelik nitel bir çalışma: Akıllı ulaşım sistemleri çözüm önerileri,” Doctoral dissertation, Anadolu University (Turkey), p. 24, 2020.
  • C. Güven, “Akıllı ulaşım sistemleri üzerine bir sistematik literatür taraması,” Master's thesis, Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019.
  • K. N. Qureshi and A. H. Abdullah, “A survey on intelligent transportation systems,” Middle-East Journal of Scientific Research, vol. 15, no. 5, pp. 629–642, 2013.
  • S. S. Ateş and H. Korkmaz, “Havalimanı apron emniyeti sorunlarının belirlenmesine yönelik nitel bir çalışma: Akıllı ulaşım sistemleri çözüm önerileri,” Master's thesis, Anadolu Üniversitesi, 2018.
  • UDHB, U. A. U. S. S., “Belgesi (2014-2023) ve eki eylem planı (2014-2016),” TC Ulaştırma Denizcilik ve Haberleşme Bakanlığı, Ankara, 2014.
  • N. Temurçin and M. Ersoy, “Ağ altyapılarında yapay zeka tabanlı ağ trafik yönetim mekanizmalarının incelenmesi,” Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi, vol. 7, no. 1, pp. 31–40, 2023.
  • M. Yardım and G. Akyıldız, “Akıllı ulaştırma sistemleri ve Türkiye’deki uygulamalar,” 2005.
  • H. Tufan, “Akıllı ulaşım sistemleri uygulamaları ve Türkiye için bir AUS mimarisi önerisi,” Ulaştırma ve Haberleşme Uzmanlığı Tezi, TC Ulaştırma Denizcilik ve Haberleşme Bakanlığı, 2014.
  • N. Fidan, A. Karadeniz, and G. Gelişen, “Sürdürülebilir akıllı ulaşım sistemleri yönetimi: Bursa şehri incelemesi,” in 2nd International Congress of Engineering and Natural Sciences Studies (ICENSS-2022), May 2022, pp. 26–49.
  • BELBİM, BELBİM İnternet Sitesi, [Online]. Available: http://www.belbim.com.tr [Accessed: May 22, 2014].
  • Ö. Abdulkadir, A. Kadir, and K. Çağdaş, “Toplu taşımada akıllı ulaşım sistemlerinin kullanımı: Türkiye’de belediyelerin sunduğu hizmetlerin değerlendirilmesi,” Journal of Transportation and Logistics, vol. 4, no. 2, pp. 51–64, 2019.
  • M. Khan, “Risk analysis of intelligent transportation system investments,” IET Intelligent Transport Systems, vol. 3, no. 3, pp. 358–368, 2009.
  • M. Zhao, J. Walker, and C. C. Wang, “Challenges and opportunities for securing intelligent transportation systems,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 1, pp. 96–105, 2013.
  • O. Krivolapova, “Algorithm for risk assessment in the introduction of intelligent transport systems facilities,” Transportation Research Procedia, vol. 20, pp. 373–377, 2017.
  • G. Sabaliauskaite, J. Cui, L. S. Liew, and F. Zhou, “Integrated safety and cybersecurity risk analysis of cooperative intelligent transport systems,” in 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), pp. 723–728, IEEE, Dec. 2018.
  • K. B. Kelarestaghi, M. Foruhandeh, K. Heaslip, and R. Gerdes, “Intelligent transportation system security: Impact-oriented risk assessment of in-vehicle networks,” IEEE Intelligent Transportation Systems Magazine, vol. 13, no. 2, pp. 91–104, 2019.
  • V. Krundyshev and M. Kalinin, “Prevention of cyber attacks in smart manufacturing applying modern neural network methods,” in IOP Conference Series: Materials Science and Engineering, vol. 940, no. 1, p. 012011, IOP Publishing, Sep. 2020.
  • İ. Avcı, and M. Koca, “A novel security risk analysis using the ahp method in smart railway systems,”. Applied Sciences, vol. 14, no. 10, 4243, 2024.
  • Jarašūniene, “Analysis of possibilities and proposals of intelligent transport system (ITS) implementation in Lithuania,” Transport, vol. 21, no. 4, pp. 245–251, 2006.
  • E. Mitsakis, P. Iordanopoulos, G. Aifadopoulou, Y. Tyrinopoulos, and M. Chatziathanasiou, “Current status and future prospects of intelligent transport systems deployment in South East Europe,” 2014.
  • C. Namugenyi, S. L. Nimmagadda, and T. Reiners, “Design of a SWOT analysis model and its evaluation in diverse digital business ecosystem contexts,” Procedia Computer Science, vol. 159, pp. 1145–1154, 2019.
  • M. A. Benzaghta, A. Elwalda, M. M. Mousa, I. Erkan, and M. Rahman, “SWOT analysis applications: An integrative literature review,” Journal of Global Business Insights, vol. 6, no. 1, pp. 55–73, 2021.
  • M. Oturakci, C. Dagsuyu, and O. Derse, “A new fuzzy approach in risk assessment with process capability for air pollution,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 45, no. 1, 356-369, 2023.
  • İ. Avcı, “Akıllı ulaşım sistemlerinde siber saldırılar ve önlemler,” Journal of Intelligent Transportation Systems & Applications, vol. 6, no. 1, 2023.
There are 30 citations in total.

Details

Primary Language Turkish
Subjects Industrial Engineering
Journal Section Articles
Authors

Aslıhan Gür 0009-0003-7054-9787

Neşe Yeşilkaya 0009-0001-3998-2895

Şevin Tatar 0009-0001-6327-3458

Onur Derse 0000-0002-4528-1999

Publication Date June 30, 2025
Submission Date March 27, 2025
Acceptance Date June 5, 2025
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Gür, A., Yeşilkaya, N., Tatar, Ş., Derse, O. (2025). Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis. International Scientific and Vocational Studies Journal, 9(1), 68-80. https://doi.org/10.47897/bilmes.1666724
AMA Gür A, Yeşilkaya N, Tatar Ş, Derse O. Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis. ISVOS. June 2025;9(1):68-80. doi:10.47897/bilmes.1666724
Chicago Gür, Aslıhan, Neşe Yeşilkaya, Şevin Tatar, and Onur Derse. “Evaluation of Intelligent Transportation Systems Using SWOT Analysis and Risk Analysis”. International Scientific and Vocational Studies Journal 9, no. 1 (June 2025): 68-80. https://doi.org/10.47897/bilmes.1666724.
EndNote Gür A, Yeşilkaya N, Tatar Ş, Derse O (June 1, 2025) Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis. International Scientific and Vocational Studies Journal 9 1 68–80.
IEEE A. Gür, N. Yeşilkaya, Ş. Tatar, and O. Derse, “Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis”, ISVOS, vol. 9, no. 1, pp. 68–80, 2025, doi: 10.47897/bilmes.1666724.
ISNAD Gür, Aslıhan et al. “Evaluation of Intelligent Transportation Systems Using SWOT Analysis and Risk Analysis”. International Scientific and Vocational Studies Journal 9/1 (June2025), 68-80. https://doi.org/10.47897/bilmes.1666724.
JAMA Gür A, Yeşilkaya N, Tatar Ş, Derse O. Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis. ISVOS. 2025;9:68–80.
MLA Gür, Aslıhan et al. “Evaluation of Intelligent Transportation Systems Using SWOT Analysis and Risk Analysis”. International Scientific and Vocational Studies Journal, vol. 9, no. 1, 2025, pp. 68-80, doi:10.47897/bilmes.1666724.
Vancouver Gür A, Yeşilkaya N, Tatar Ş, Derse O. Evaluation of Intelligent Transportation Systems using SWOT Analysis and Risk Analysis. ISVOS. 2025;9(1):68-80.


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