AI-Powered Digital Mobility Solutions for Sustainable Urban Transport


Keywords:
artificial intelligence, transportation, digitalizationAbstract
Transportation has emerged as a fundamental component of contemporary urban life, and its
digital transformation is rapidly advancing through the integration of artificial intelligence (AI)
technologies. The incorporation of AI into transportation systems presents valuable opportunities to
enhance travel efficiency, reliability, and environmental sustainability. This paper introduces a
comprehensive model aimed at the digitalization of transportation in the city of Yozgat, Turkey, by
employing AI to improve and modernize the existing transit infrastructure. Yozgat currently relies on a
transportation network composed of public buses, an intercity bus terminal, and a high-speed train station.
However, several challenges have been identified, including irregular and unpredictable bus schedules,
the lack of micro-mobility options, and limited taxi availability. To address these shortcomings, the
proposed model integrates AI-driven technologies to develop a more efficient, accessible, and user
friendly transportation system. The model includes real-time tracking and intelligent route optimization
for public buses, the introduction of shared electric scooters and bike rental stations to diversify urban
mobility options, and the development of a unified mobile application that connects intercity and local
transit services, including the high-speed train station. Furthermore, AI algorithms are employed to
analyse traffic conditions and user behaviour in order to recommend the most efficient travel routes. A
consolidated digital payment platform is also introduced to streamline fare payments across all modes of
transportation. This model aims to improve the overall efficiency and coordination of Yozgat’s
transportation system while encouraging the adoption of environmentally sustainable mobility practices.
The study demonstrates that AI-powered transportation digitalization offers a viable and scalable solution
for enhancing urban mobility in medium-sized cities.
Downloads
References
Cohen, B., Amorós, J. E., & Lundy, L. (2017). The generative potential of emerging technology to support startups and new ecosystems. Business Horizons, 60, 741–745. https://doi.org/10.1016/j.bushor.2017.06.003
van Winden, W., & Carvalho, L. (2017). How digitalization changes cities: Innovation for the urban economy of tomorrow. In Cities and Digitalization (pp. 1–22). https://doi.org/10.1007/978-3-319-29296-0_1
Türkiye Bilişim Vakfı (TBV). (2022, July 28). Dijitalleşme yolunda Türkiye 2021: Trendler ve rehber hedefler. https://tbv.org.tr/wp-content/uploads/2021/04/Dijitalles%CC%A7me-Yolunda-Tu%CC%88rkiye-Raporu-v9.pdf
Munoz, P. A., & Cohen, B. (2016). The making of the urban entrepreneur. California Management Review, 59(1), 71–91. https://doi.org/10.1177/0008125616683952
Finger, M., & Razaghi, M. (2017). Conceptualizing smart cities. Informatik Spektrum, 4(1), 6–13. https://doi.org/10.1007/s00287-017-1042-3
Sarma, S., & Sunny, S. A. (2017). Civic entrepreneurial ecosystems: Smart city emergence in Kansas City. Business Horizons, 60, 843–853. https://doi.org/10.1016/j.bushor.2017.07.008
Pinochet, L. H. C., Romani, G. F. C., Souza, A., Abitia, G. R., & Gestão, R. (2018). Intention to live in a smart city based on its characteristics in the perception by the young public. Emerald Publishing Limited, 26(1), 73–92. https://doi.org/10.1108/JES-03-2018-0104
Camero, A., & Alba, E. (2019). Smart city and information technology: A review. Cities, 93, 84–94. https://doi.org/10.1016/j.cities.2019.04.014
Patrão, C., Moura, P., & Almeida, A. T. (2020). Review of smart city assessment tools. Smart Cities, 3, 1117–1132. https://doi.org/10.3390/smartcities3040056
Ayataç, H. (2016). Kentsel ulaşım planlaması ve İstanbul. İTÜ Vakfı Dergisi, 71, 31–35.
Franklina, R. S., van Leeuwen, E. S., & Páez, A. (2018). Transportation where people leave: An introduction. In Population Loss: The Role of Transportation and Other Issues (Vol. 2, p. 1).
Glasmeier, A., & Nebiolo, M. (2016). Thinking about smart cities: The travels of a policy idea that promises a great deal, but so far has delivered modest results. Sustainability, 8(11), 1122. https://doi.org/10.3390/su8111122
Goodspeed, R. (2014). Smart cities: Moving beyond urban cybernetics to tackle wicked problems. Cambridge Journal of Regions, Economy and Society, 8(1), 79–92. https://doi.org/10.1093/cjres/rsu013
Neumann, T. (2017, April). Fuzzy routing algorithm in telematics transportation systems. In International Conference on Transport Systems Telematics (pp. 494–505). Springer, Cham. https://doi.org/10.1007/978-3-319-49646-7_41
Chen, Y., Ardila-Gomez, A., & Frame, G. (2017). Achieving energy savings by intelligent transportation systems investments in the context of smart cities. Transportation Research Part D: Transport and Environment, 54, 381–396. https://doi.org/10.1016/j.trd.2017.05.005
Başkaya, O., Ağaçsapan, B., & Çabuk, A. (2020). Akıllı şehirler kapsamında yapay zekâ teknikleri kullanarak etkin ulaşım planlarının oluşturulması üzerine bir model önerisi. GSI Journals Serie C: Advancements in Information Sciences and Technologies, 3(1), 1–21.