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Applications of Artificial Intelligence in Transport: An Overview

Citations

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Cited by:

  1. Przemysław Kowalik & Grzegorz Sobecki & Piotr Bawoł & Paweł Muzolf, 2023. "A Flow-Based Formulation of the Travelling Salesman Problem with Penalties on Nodes," Sustainability, MDPI, vol. 15(5), pages 1-28, February.
  2. Benjamin Kwame Amponsah & Paul Boadu Asamoah & Manso Frimpong, 2024. "The Impact of Artificial Intelligence in Logistics and Supply Chain in the USA – Focusing on Leading Industries in the 21st Century," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(11), pages 22-30, November.
  3. Eugène Loos & Maria Sourbati & Frauke Behrendt, 2020. "The Role of Mobility Digital Ecosystems for Age-Friendly Urban Public Transport: A Narrative Literature Review," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
  4. Zulamir Hassani, Afdhal & Yusoff, Fazirah & Wan Zain, Wan Nor Aisyah, 2021. "Fair and Responsible in Logistics IR 4.0," MPRA Paper 108432, University Library of Munich, Germany.
  5. Augustus Orowhigo ATUBI, 2025. "Artificial Intelligence: Exploring its Application in Transportation Industry," Social Sciences and Education Research Review, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 12(1), pages 179-186, July.
  6. Pamucar, Dragan & Deveci, Muhammet & Gokasar, Ilgin & Tavana, Madjid & Köppen, Mario, 2022. "A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  7. Fahad Alrukaibi & Rushdi Alsaleh & Tarek Sayed, 2019. "Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
  8. Jo, Hyeon & Park, Do-Hyung, 2025. "The fear of being replaced by generative AI: An examination of influential factors among office workers," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
  9. Marya Butt & Ander de Keijzer, 2022. "Using Transfer Learning to Train a Binary Classifier for Lorrca Ektacytometery Microscopic Images of Sickle Cells and Healthy Red Blood Cells," Data, MDPI, vol. 7(9), pages 1-21, September.
  10. Jae-joon Chung & Hyun-Jung Kim, 2020. "An Automobile Environment Detection System Based on Deep Neural Network and its Implementation Using IoT-Enabled In-Vehicle Air Quality Sensors," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
  11. Sesil Koutra & Christos S. Ioakimidis, 2022. "Unveiling the Potential of Machine Learning Applications in Urban Planning Challenges," Land, MDPI, vol. 12(1), pages 1-19, December.
  12. Li, Zhengzheng & Xing, Youze & Shao, Xuefeng & Zhong, Yifan & Su, Yun Hsuan, 2025. "Transitioning the energy landscape: AI's role in shifting from fossil fuels to renewable energy," Energy Economics, Elsevier, vol. 149(C).
  13. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
  14. Guimin Gong & Wenhong Lv & Qi Wang, 2023. "Research on Urban Road Traffic Network Pinning Control Based on Feedback Control," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
  15. Dorota Kamrowska-Załuska, 2021. "Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities," Land, MDPI, vol. 10(11), pages 1-19, November.
  16. Emilian Szczepański & Renata Żochowska & Mariusz Izdebski & Marianna Jacyna, 2025. "Decision-Making Problems in Urban Transport Decarbonization Strategies: Challenges, Tools, and Methods," Energies, MDPI, vol. 18(15), pages 1-17, July.
  17. Volodymyr N. Skoropad & Stevica Deđanski & Vladan Pantović & Zoran Injac & Slađana Vujičić & Marina Jovanović-Milenković & Boris Jevtić & Violeta Lukić-Vujadinović & Dejan Vidojević & Ištvan Bodolo, 2025. "Dynamic Traffic Flow Optimization Using Reinforcement Learning and Predictive Analytics: A Sustainable Approach to Improving Urban Mobility in the City of Belgrade," Sustainability, MDPI, vol. 17(8), pages 1-31, April.
  18. Alyamani, Rakan & Solangi, Yasir Ahmed & Iqbal, Muddesar & Almakhles, Dhafer & Magazzino, Cosimo, 2025. "Assessing AI-based eco-driving solutions for reducing GHG emissions in green transportation systems," Research in Transportation Economics, Elsevier, vol. 113(C).
  19. Auwal Alhassan Musa & Salim Idris Malami & Fayez Alanazi & Wassef Ounaies & Mohammed Alshammari & Sadi Ibrahim Haruna, 2023. "Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
  20. Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
  21. Fosso Wamba, Samuel & Bawack, Ransome Epie & Guthrie, Cameron & Queiroz, Maciel M. & Carillo, Kevin Daniel André, 2021. "Are we preparing for a good AI society? A bibliometric review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
  22. Maryann Osadebamwen Asemota, 2023. "Facial Recognition Technology For Recruitment In The Russian Workplace," HSE Working papers WP BRP 126/STI/2023, National Research University Higher School of Economics.
  23. Å. Jevinger & C. Zhao & J. A. Persson & P. Davidsson, 2024. "Artificial intelligence for improving public transport: a mapping study," Public Transport, Springer, vol. 16(1), pages 99-158, March.
  24. Waymond Rodgers & Mouza Al Habsi & George Gamble, 2019. "Sustainability and Firm Performance: A Review and Analysis Using Algorithmic Pathways in the Throughput Model," Sustainability, MDPI, vol. 11(14), pages 1-27, July.
  25. Catarina N. S. Silva & Justas Dainys & Sean Simmons & Vincentas Vienožinskis & Asta Audzijonyte, 2022. "A Scalable Open-Source Framework for Machine Learning-Based Image Collection, Annotation and Classification: A Case Study for Automatic Fish Species Identification," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
  26. De Obesso Arias, María de las Mercedes & Pérez Rivero, Carlos Alberto & Carrero Márquez, Oliver, 2023. "Artificial intelligence to manage workplace bullying," Journal of Business Research, Elsevier, vol. 160(C).
  27. Christina Kakderi & Eleni Oikonomaki & Ilektra Papadaki, 2021. "Smart and Resilient Urban Futures for Sustainability in the Post COVID-19 Era: A Review of Policy Responses on Urban Mobility," Sustainability, MDPI, vol. 13(11), pages 1-21, June.
  28. Marx Davidson Nkonyam Ando & Bartosz Zakrzewski & Irena Dul, 2026. "Artificial Intelligence in the Management of Transportation Companies," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 432-447.
  29. Jin, Hui & Liu, Yue & Wu, Telan & Zhang, Yanpei, 2022. "Site-specific optimization of bus stop locations and designs over a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
  30. repec:bcp:journl:v:8:y:2024:i:1:p:2471-2480 is not listed on IDEAS
  31. Ghasri, Milad & Ardeshiri, Ali & Zhang, Xiang & Waller, S. Travis, 2024. "Analysing preferences for integrated micromobility and public transport systems: A hierarchical latent class approach considering taste heterogeneity and attribute non-attendance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  32. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  33. Alexandros Nikitas & Kalliopi Michalakopoulou & Eric Tchouamou Njoya & Dimitris Karampatzakis, 2020. "Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
  34. Corina-Cristiana NASTACÄ‚ & Claudiu-Emanuel SIMION, 2025. "Transport Infrastructure Development In Romania And Republic Of Moldova: Challenges And Perspectives," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 17(4), pages 15-29, December.
  35. Tomas Ramirez-Guerrero & Mauricio Toro & Marta S. Tabares & Ricardo Salazar-Cabrera & Álvaro Pachón de la Cruz, 2022. "Key Aspects for IT-Services Integration in Urban Transit Service of Medium-Sized Cities: A Qualitative Exploratory Study in Colombia," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
  36. Phattarasuda Witchayaphong & Surachet Pravinvongvuth & Kunnawee Kanitpong & Kazushi Sano & Suksun Horpibulsuk, 2020. "Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
  37. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
  38. Giuseppe Guido & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Alessandro Vitale & Vittorio Astarita & Ashkan Shafiee Haghshenas, 2020. "Feasibility of Stochastic Models for Evaluation of Potential Factors for Safety: A Case Study in Southern Italy," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
  39. Iouri Semenov & Marianna Jacyna & Izabela Auguściak & Mariusz Wasiak, 2025. "Hybrid Human–AI Collaboration for Optimized Fuel Delivery Management," Energies, MDPI, vol. 18(19), pages 1-25, September.
  40. Suleiman Hassan Otuoze & Dexter V. L. Hunt & Ian Jefferson, 2021. "Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
  41. Tahmineh Ladi & Shaghayegh Jabalameli & Ayyoob Sharifi, 2022. "Applications of machine learning and deep learning methods for climate change mitigation and adaptation," Environment and Planning B, , vol. 49(4), pages 1314-1330, May.
  42. Wang, Shanshan & Schreckenberg, Michael & Guhr, Thomas, 2023. "Response functions as a new concept to study local dynamics in traffic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
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