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A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility

Cilt: 9 Sayı: 2 27 Ekim 2026
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A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility

Öz

Artificial intelligence (AI) is a cutting-edge technology that enhances efficiency across multiple sectors through the effective analysis of diverse data sources. Governments are continuously publishing strategic AI plans to adapt to AI-centric digital transformation. These plans address various concepts, including infrastructure investments, ethical and human values, innovation speed, political barriers, inclusiveness, and transparency. These efforts are critical for establishing the necessary infrastructure for the development of smart cities that integrate innovative systems and improve citizens’ quality of life. Smart mobility constitutes a key pillar of smart cities and is directly linked to the efficiency of these systems. Experience in AI governance underscores the importance of evaluating how national strategies affect such critical sectors. This study first evaluates the United States Artificial Intelligence Action Plan, published by The White House on July 10, 2025, using the SWOT analysis method. Subsequently, recommended policy actions and their potential impacts on smart mobility are examined in the light of literature findings. The SWOT analysis highlights advantages such as accelerated innovation and increased inter-institutional collaboration, as well as some disadvantages such as environmental and ethical concerns. Accordingly, this study presents recommendations for the transportation industry, which necessitates a strategic approach to diversity and inclusion. The findings of this study offer valuable insights for policymakers, urban planners, and transportation professionals in understanding the practical impact of AI strategies on smart mobility.

Anahtar Kelimeler

Kaynakça

  1. Abduljabbar, R., Dia, H., Liyanage, S. & Bagloee, S.A. (2019). Applications of artificial intelligence in transport: An overview. Sustainability, 11, 189. doi:10.3390/su11010189.
  2. Adeoye, Y., Onotole, E., Ogunyankinnu, T., Aipoh, G., Osunkanmibi, A.A., & Egbemhenghe, J. (2025). Artificial Intelligence in Logistics and Distribution: The function of AI in dynamic route planning for transportation, including self-driving trucks and drone delivery systems. World Journal of Advanced Research and Reviews, 25(2), 155-167. doi:10.30574/wjarr.2025.25.2.0214.
  3. Adio, S.A., Sikhakhane-Nwokediegwu, Z., Erinjogunola, F.L., Ajirotutu, R.O., & Olayiwola, R.K. (2025). Integrating AI in Public Transport Workforces: A Review of HR Challenges and Opportunities. International Journal of Multidisciplinary Research and Growth Evaluation, 6(2), 611-624. doi:10.54660/.IJMRGE.2025.6.2.611-624.
  4. Ahuchogu, M.C., Sanyaolu, T.O., Adeleke, A.G., & Leenit, U.K. (2024). Diversity and inclusion practices in the transportation industry: A systematic review. International Journal of Applied Research in Social Sciences, 2706. doi:10.51594/ijarss.v6i9.1567.
  5. Ajayi, O.O., Kurien, A., Djouani, K., & Dieng, L. (2025). Artificial intelligence for infrastructure resilience: Transportation systems as a strategic case for policy and practice. Sustainability, 17(20), 8992. https://doi.org/10.3390/su17208992
  6. Al-Ali, A. R., Beheiry, S., Alnabulsi, A., Obaid, S., Mansoor, N., Odeh, N., & Mostafa, A. (2024). An IoT-based road bridge health monitoring and warning system. Sensors, 24(2), 469. doi:10.3390/s24020469.
  7. Aydin, N., Cari, M., Kara, B., & Ayyildiz, E. (2025). A review of artificial intelligence-enhanced Fuzzy multi-criteria decision-making approaches for sustainable transportation planning. Computers, Materials, & Continua, 85(2), 2625. doi:10.32604/cmc.2025.067290.
  8. Aydin, N., Yilmaz, O., Deveci, M., & Lv, Z. (2022). Heuristics based optimization for multidepot drone location and routing problem to detect post-earthquake damages. IEEE Transactions on Intelligent Transportation Systems, 25(1), 850-858. doi:10.1109/TITS.2022.3190698.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Ulaştırma Mühendisliği

Bölüm

Derleme

Yayımlanma Tarihi

27 Ekim 2026

Gönderilme Tarihi

8 Şubat 2026

Kabul Tarihi

25 Eylül 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 9 Sayı: 2

Kaynak Göster

APA
Balcı, E. (2026). A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 9(2), 200-218. https://doi.org/10.51513/jitsa.1884655
AMA
1.Balcı E. A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility. Jitsa. 2026;9(2):200-218. doi:10.51513/jitsa.1884655
Chicago
Balcı, Erdem. 2026. “A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 9 (2): 200-218. https://doi.org/10.51513/jitsa.1884655.
EndNote
Balcı E (01 Ekim 2026) A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 9 2 200–218.
IEEE
[1]E. Balcı, “A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility”, Jitsa, c. 9, sy 2, ss. 200–218, Eki. 2026, doi: 10.51513/jitsa.1884655.
ISNAD
Balcı, Erdem. “A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 9/2 (01 Ekim 2026): 200-218. https://doi.org/10.51513/jitsa.1884655.
JAMA
1.Balcı E. A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility. Jitsa. 2026;9:200–218.
MLA
Balcı, Erdem. “A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, c. 9, sy 2, Ekim 2026, ss. 200-18, doi:10.51513/jitsa.1884655.
Vancouver
1.Erdem Balcı. A SWOT Analysis of the U.S. National Artificial Intelligence Strategy And Its Implications for Smart Mobility. Jitsa. 01 Ekim 2026;9(2):200-18. doi:10.51513/jitsa.1884655