IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v171y2025icp78-97.html

Preparing for an agentic era of human-machine transportation systems: Opportunities, challenges, and policy recommendations

Author

Listed:
  • Yu, Jiangbo

Abstract

Human-Machine Transportation Systems (HMTS) refer to transportation systems where humans and machines interact to enable mobility. The history of humans creating and utilizing machines for transportation purposes dates back from the invention of the wheel to more recent innovations such as bicycles, automobiles, traffic signals, handheld navigation devices, asphalt pavers, and computer-aided design and management tools. In recent years, technological advancements have transformed machines from passive tools into more active participants, with humans increasingly delegating complex tasks and responsibilities to them. While these advancements have revolutionized mobility, their siloed, uncoordinated implementation has also introduced critical challenges, including urban sprawl, high fatalities, environmental degradation, and worsened societal disparity.

Suggested Citation

  • Yu, Jiangbo, 2025. "Preparing for an agentic era of human-machine transportation systems: Opportunities, challenges, and policy recommendations," Transport Policy, Elsevier, vol. 171(C), pages 78-97.
  • Handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:78-97
    DOI: 10.1016/j.tranpol.2025.05.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X2500215X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2025.05.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Maria Schuld, 2019. "Machine learning in quantum spaces," Nature, Nature, vol. 567(7747), pages 179-181, March.
    2. Anna Eliza Wolnowska & Lech Kasyk, 2024. "Study of the Demand for Ecological Means of Transport in Micromobility: A Case of Bikesharing in Szczecin, Poland," Sustainability, MDPI, vol. 16(9), pages 1-33, April.
    3. Jason Hawkins & Khandker Nurul Habib, 2019. "Integrated models of land use and transportation for the autonomous vehicle revolution," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 66-83, January.
    4. Yu, Jiangbo & Hyland, Michael F., 2025. "Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
    5. Li, Jie & Fotouhi, Abbas & Liu, Yonggang & Zhang, Yuanjian & Chen, Zheng, 2024. "Review on eco-driving control for connected and automated vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Jiangbo Yu & Graeme McKinley, 2024. "Synthetic Participatory Planning of Shared Automated Electric Mobility Systems," Sustainability, MDPI, vol. 16(13), pages 1-32, June.
    7. Zhang, Qiyuan & Wallbridge, Christopher D. & Jones, Dylan M. & Morgan, Phillip L., 2024. "Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    8. Kadhim Hayawi & Junaid Sajid & Asad Waqar Malik & Zouheir Trabelsi & Ayaz Ur Rehman, 2024. "Leveraging on-board computing in autonomous ferries to identify malicious network connections," Journal of Transportation Security, Springer, vol. 17(1), pages 1-24, December.
    9. Flyvbjerg, Bent & Ansar, Atif & Budzier, Alexander & Buhl, Søren & Cantarelli, Chantal & Garbuio, Massimo & Glenting, Carsten & Holm, Mette Skamris & Lovallo, Dan & Lunn, Daniel & Molin, Eric & Rønnes, 2018. "Five things you should know about cost overrun," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 174-190.
    10. Manivasakan, Hesavar & Kalra, Riddhi & O'Hern, Steve & Fang, Yihai & Xi, Yinfei & Zheng, Nan, 2021. "Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads – Current practice and a case study of Melbourne, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 36-53.
    11. Wei Nai & Zan Yang & Dan Li & Lu Liu & Yuting Fu & Yuao Guo, 2024. "Urban Day-to-Day Travel and Its Development in an Information Environment: A Review," Sustainability, MDPI, vol. 16(6), pages 1-29, March.
    12. Yu, Jiangbo Gabriel & Jayakrishnan, R., 2018. "A quantum cognition model for bridging stated and revealed preference," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 263-280.
    13. Wu, Min & Lin, Angie Shi Qi & Yuen, Kum Fai, 2024. "The effects of motivated consumer innovativeness on consumer acceptance of autonomous delivery robots," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    14. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    15. Tian, Chao & Tu, Kai & Sui, Haiqing & Sun, Qi, 2024. "Value co-creation in shared mobility: The case of carpooling in China," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    16. Inturri, Giuseppe & Le Pira, Michela & Giuffrida, Nadia & Ignaccolo, Matteo & Pluchino, Alessandro & Rapisarda, Andrea & D'Angelo, Riccardo, 2019. "Multi-agent simulation for planning and designing new shared mobility services," Research in Transportation Economics, Elsevier, vol. 73(C), pages 34-44.
    17. 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).
    18. Ming Yan & Zijun Lin & Peng Lu & Mansu Wang & Lucia Rampino & Giandomenico Caruso, 2023. "Speculative Exploration on Future Sustainable Human-Machine Interface Design in Automated Shuttle Buses," Sustainability, MDPI, vol. 15(6), pages 1-29, March.
    19. Han Li & Tian Zhang & Xiaoshu Cao & Lingling Yao, 2023. "Active Utilization of Linear Cultural Heritage Based on Regional Ecological Security Pattern along the Straight Road (Zhidao) of the Qin Dynasty in Shaanxi Province, China," Land, MDPI, vol. 12(7), pages 1-21, July.
    20. Liu, Tao & You, Hailin & Gkiotsalitis, Konstantinos & Cats, Oded, 2024. "Human-Machine collaborative decision-making approach to scheduling customized buses with flexible departure times," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    21. Hilbers, Anne Marel & Sijtsma, Frans J. & Busscher, Tim & Arts, Jos, 2024. "Limits to participation in road infrastructure planning: Which choices do citizens make when their valued landscapes are under pressure?," Land Use Policy, Elsevier, vol. 138(C).
    22. Abeer Aljohani, 2023. "Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ajay Bandi & Bhavani Kongari & Roshini Naguru & Sahitya Pasnoor & Sri Vidya Vilipala, 2025. "The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges," Future Internet, MDPI, vol. 17(9), pages 1-50, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu, Jiangbo & Hyland, Michael F., 2025. "Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
    2. Flyvbjerg, Bent & Ansar, Atif & Budzier, Alexander & Buhl, Søren & Cantarelli, Chantal & Garbuio, Massimo & Glenting, Carsten & Holm, Mette Skamris & Lovallo, Dan & Molin, Eric & Rønnest, Arne & Stewa, 2019. "On de-bunking “Fake News” in the post-truth era: How to reduce statistical error in research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 409-411.
    3. Sumitkumar, Rathor & Al-Sumaiti, Ameena Saad, 2024. "Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    4. Jiangbo Yu & Graeme McKinley, 2024. "Synthetic Participatory Planning of Shared Automated Electric Mobility Systems," Sustainability, MDPI, vol. 16(13), pages 1-32, June.
    5. Love, Peter E.D. & Ika, Lavagnon A. & Ahiaga-Dagbui, Dominic D., 2019. "On de-bunking ‘fake news’ in a post truth era: Why does the Planning Fallacy explanation for cost overruns fall short?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 397-408.
    6. Devon McAslan & Farah Najar Arevalo & David A. King & Thaddeus R. Miller, 2021. "Pilot project purgatory? Assessing automated vehicle pilot projects in U.S. cities," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-16, December.
    7. Liu, Yuan Xiong & Li, HanXi & Pan, Younghwan, 2025. "Why do users trust Robotaxi? Analyzing user differences and adoption behavior from a socio-technical perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
    8. Wu, Guohong & Wu, Jiaming & Zheng, Shiteng & Jiang, Rui, 2024. "Managing merging from a dedicated CAV lane into a conventional lane considering the stochasticity of connected human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 652(C).
    9. Hans Westerman & John Black, 2024. "Preparing for Fully Autonomous Vehicles in Australian Cities: Land-Use Planning—Adapting, Transforming, and Innovating," Sustainability, MDPI, vol. 16(13), pages 1-29, June.
    10. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "Heterogenous evaluations of autonomous vehicle services: An extended theoretical framework and empirical evidence," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    11. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "A stochastic dynamic network loading model for mixed traffic with autonomous and human-driven vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    12. Nikitas, Alexandros & Cotet, Corneliu & Vitel, Alexandra-Elena & Nikitas, Nikolaos & Prato, Carlo, 2024. "Transport stakeholders’ perceptions of Mobility-as-a-Service: A Q-study of cultural shift proponents, policy advocates and technology supporters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    13. Ginés de Rus & Javier Campos & Daniel Graham & M. Pilar Socorro & Jorge Valido, 2020. "Evaluación Económica de Proyectos y Políticas de Transporte: Metodología y Aplicaciones. Parte 1: Metodología para el análisis coste-beneficio de proyectos y políticas de transporte," Working Papers 2020-11, FEDEA.
    14. Dorota Kuchta & Paolo Canonico & Vincenza Capone & Guido Capaldo, 2023. "Uncertainty in the Planning Phase of Public Projects—Its Scope, Consequences, and Possible Remedies," Administrative Sciences, MDPI, vol. 13(6), pages 1-17, June.
    15. Tengilimoglu, Oguz & Carsten, Oliver & Wadud, Zia, 2023. "Implications of automated vehicles for physical road environment: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    16. Liu, Zhiyong & Li, Ruimin & Dai, Jingchen, 2022. "Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 206-226.
    17. Boualem Djehiche & Björn Löfdahl, 2021. "Quantum Support Vector Regression for Disability Insurance," Risks, MDPI, vol. 9(12), pages 1-9, December.
    18. Aslan, Marjan & Keating, Byron W., 2025. "Providing social support in technology-based service encounters: Activating intrinsic motivations to create better outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    19. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.
    20. Luo, Lichen & Parady, Giancarlos & Takami, Kiyoshi, 2024. "Evaluating the impact of automated vehicles on residential location distribution using activity-based accessibility: A case study of Japanese regional areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:78-97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.