Analyzing Trends and Framework Models for Autonomous Vehicle Transition Strategies

Authors

  • Cintia Nurliyana School of Business and Management, Institut Teknologi Bandung, Bandung, INDONESIA
  • Yuliani Dwi Lestari School of Business and Management, Institut Teknologi Bandung, Bandung, INDONESIA
  • Eko Agus Prasetio School of Business and Management, Institut Teknologi Bandung, Bandung, INDONESIA
  • Prawira Fajarindra Belgiawan School of Business and Management, Institut Teknologi Bandung, Bandung, INDONESIA

DOI:

https://doi.org/10.22146/jcef.26609

Keywords:

Autonomous vehicle, Transition, Bibliometric

Abstract

The shift from traditional human-driven to autonomous vehicles represents a transformation that is not merely technological, but also social. Currently, the deployment of autonomous vehicles remains largely at level where the human driver continues to be the primary decisionmaker. However, this dynamic is expected to change significantly as higher levels of autonomy are achieved. This study aims to identify the impacts that occur during process transition through emerging trends and theoretical lens of transition studies. The initial stage involved mapping trends in Autonomous Vehicle (AV) research to identify key related topics. This study uses bibliometric analysis of 82 key articles selected through a screening process in a systematic review. VOSviewer and CiteSpace were employed to map the research landscape, identify dominant topics, and trace the evolution of AV studies over time. The analysis highlights both well-established research areas and underexplored gaps. Furthermore, the articles were classified into categories based on transition study dimensions and key actors involedinvolved in facilitating a successful transition. The findings reveal a dominant research focus on users, human factors, and mobility behavior, whereas studies concerning vulnerable road users and the industry transition remain limited. To address this gap, this study investigates the socio-technical factors arising from the identified trends and transition studies while also exploring the roles of key stakeholders. This approach aims to achieve a more balanced perspective. Specifically, the study proposes a novel framework that connects critical actors with core socio-technical dimensions to support a sustainable autonomous ve-hicle transition. This research thus provides a strategic framework designed to guide and accelerate the shift toward autonomous mobility.

References

Acheampong, R. A., Cugurullo, F., Gueriau, M. and Dusparic, I. (2021), ‘Can autonomous vehicles enable sustainable mobility in future cities? insights and policy challenges from user preferences over different urban transport options’, Cities 112. URL: https://doi.org/10.1016/j.cities.2021.103134

Alms, R. and Wagner, P. (2024), ‘Control transitions in level 3 automation: Safety implications in mixedautonomy traffic’, Safety 10(1). URL: https://doi.org/10.3390/safety10010001

Alochet, M., Midler, C., Shou, Y. and Wang, X. (2021), ‘The road to autonomous mobility services: Who drives the transition, where, and how?’, International Journal of Automotive Technology and Management 21(4), 343–364. URL: https://doi.org/10.1504/IJATM.2021.119404

Alvarez León, L. F. and Aoyama, Y. (2022), ‘Industry emergence and market capture: The rise of autonomous vehicles’, Technological Forecasting and Social Change 180. URL: https://doi.org/10.1016/j.techfore.2022.121661

Ansar, M. S., Alsaleh, N. and Farooq, B. (2023), ‘Behavioural modelling of automated to manual control transition in conditionally automated driving’, Transportation Research Part F: Traffic Psychology and Behaviour 94, 422–435. URL: https://doi.org/10.1016/j.trf.2023.03.008

Asna Ashari, P., Oh, H. and Koch, C. (2023), ‘Pathways to the hydrogen economy: A multidimensional analysis of the technological innovation systems of Germany and south korea’, International Journal of Hydrogen Energy. URL: https://doi.org/10.1016/j.ijhydene.2023.08.286

Axsen, J. and Sovacool, B. K. (2019), ‘The roles of users in electric, shared and automated mobility transitions’, Transportation Research Part D: Transport and Environment 71, 1–21. URL: https://doi.org/10.1016/j.trd.2019.02.012

Baumgartinger-Seiringer, S., Miörner, J. and Trippl, M. (2020), ‘Towards a stage model of regional industrial path transformation’, Industry and Innovation pp. 1–22. URL: https://doi.org/10.1080/13662716.2020.1789452

Bley, J., Eriksson, A., Johansson, L. and Wiberg, M. (2023), ‘Design friction in autonomous drive—exploring transitions between autonomous and manual drive in non-urgent situations’, Personal and Ubiquitous Computing 27(6), 2291–2305. URL: https://doi.org/10.1007/s00779-023-01780-7

Bonyani, M., Rahmanian, M., Jahangard, S. and Rezaei, M. (2023), ‘Dipnet: Driver intention prediction for a safe takeover transition in autonomous vehicles’, IET Intelligent Transport Systems 17(9), 1769–1783. URL: https://doi.org/10.1049/itr2.12370

Breitschopf, B., Grimm, A., Billerbeck, A., Wydra, S. and Köhler, J. (2023), ‘Towards understanding interactions between socio-technical systems in sustainability transitions’, Energy Research and Social Science 106. URL: https://doi.org/10.1016/j.erss.2023.103323

Butt, M. H., Roy, J. and Some, S. (2024), ‘Policy as a catalyst in shaping mobility sector transition for developing countries’, Environmental Research Letters 19(2). URL: https://doi.org/10.1088/1748-9326/ad1d29

Canıtez, F. (2021), ‘The adoption of autonomous vehicles: A socio-technical transition perspective’, The Journal of Operations Research, Statistics, Econometrics and Management Information Systems 9(2). URL: https://doi.org/10.17093/alphanumeric.847241

Centre for Connected and Autonomous Vehicles (2018), ‘Centre for connected and autonomous vehicles’. Accessed: 2026-06-02. URL: https://www.gov.uk/government/organisations/centre-for connected-and-autonomous-vehicles/about

Chen, C. (2017), ‘Science mapping: A systematic review of the literature’, Journal of Data and Information Science 2(2), 1–40. URL: https://doi.org/10.1515/jdis-2017-0006

Chen, C., Hu, Z., Liu, S. and Tseng, H. (2012), ‘Emerging trends in regenerative medicine: A scientometric analysis in citespace’, Expert Opinion on Biological Therapy 12(5), 593–608. URL: https://doi.org/10.1517/14712598.2012.674507

Chen, Z. and Huang, X. (2019), ‘Pedestrian detection for autonomous vehicle using multi-spectral cameras’, IEEE Transactions on Intelligent Vehicles 4(2), 211–219. URL: https://doi.org/10.1109/TIV.2019.2904389

Choi, Y., Pessoa, M. V. and Bonnema, G. M. (2023), ‘Perspectives on modeling energy and mobility transitions for stakeholders: A dutch case’, World Electric Vehicle Journal. URL: https://doi.org/10.3390/wevj14070178

Clark, K. B. and Fujimoto, T. (1992), ‘Product development and competitiveness’, Journal of the Japanese and International Economies 6(2), 101–143. URL: https://doi.org/10.1016/0889-1583(92)90010-2

CNN Indonesia (2021), ‘Ahli bicara guna dan fungsi mobil otomatis seperti almaz rs’. CNN Indonesia, Accessed: 2026-06-02. URL: https://www.cnnindonesia.com/otomotif/20210928113918-579-700377/ahli-bicara-guna-dan-fungsimobil-otomatis-seperti-almaz-rs

Combs, T. S., Sandt, L. S., Clamann, M. P. and Mc-Donald, N. C. (2019), ‘Automated vehicles and pedestrian safety: Exploring the promise and limits of pedestrian detection’, American Journal of Preventive Medicine 56(1), 1–7. URL: https://doi.org/10.1016/J.AMEPRE.2018.06.024

Cugurullo, F. (2020), ‘Urban artificial intelligence: From automation to autonomy in the smart city’, Frontiers in Sustainable Cities 2. URL: https://doi.org/10.3389/frsc.2020.00038

Cugurullo, F., Acheampong, R. A., Gueriau, M. and Dusparic, I. (2021), ‘The transition to autonomous cars, the redesign of cities and the future of urban sustainability’, Urban Geography 42(6), 833–859. URL: https://doi.org/10.1080/02723638.2020.1746096

Curtale, R., Liao, F. and Rebalski, E. (2022), ‘Transitional behavioral intention to use autonomous electric car-sharing services: Evidence from four European countries’, Transportation Research Part C: Emerging Technologies 135. URL: https://doi.org/10.1016/j.trc.2021.103516

Das, S., Sheykhfard, A., Liu, J. and Khan, M. N. (2024), ‘Understanding non-motorists’ views on automated vehicle safety through bayesian network analysis and latent dirichlet allocation’, International Journalof Transportation Science and Technology 14, 289–304. URL: https://doi.org/10.1016/j.ijtst.2023.06.002

Deb, S., Strawderman, L., Carruth, D. W., DuBien, J., Smith, B. and Garrison, T. M. (2017), ‘Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles’, Transportation Research Part C: Emerging Technologies 84, 178–195. URL: https://doi.org/10.1016/j.trc.2017.08.029

Diederichs, F., Knauss, A., Wilbrink, M., Lilis, Y., Chrysochoou, E., Anund, A., Bekiaris, E., Nikolaou, S., Finér, S., Zanovello, L., Maroudis, P., Krupenia, S., Absér, A., Dimokas, N., Apoy, C., Karlsson, J., Larsson, A., Zidianakis, E., Efa, A., Widlroither, H., Dai, M., Teichmann, D., Sanatnama, H., Wendemuth, A. and Bischoff, S. (2020), ‘Adaptive transitions for automation in cars,trucks, buses and motorcycles’, IET Intelligent Transport Systems 14(8), 889–899. URL: https://doi.org/10.1049/iet-its.2018.5342

Dogan, E., Rahal, M.-C., Deborne, R., Delhomme, P., Kemeny, A. and Perrin, J. (2017), ‘Transition of control in a partially automated vehicle: Effects of anticipation and non-driving related task involvement’, Transportation Research Part F: Traffic Psychology and Behaviour 46, 205–215. URL: https://doi.org/10.1016/j.trf.2017.01.012

Doran, D., Hill, A., Hwang, K.-S. and Jacob, G. (2007), ‘Supply chain modularisation: Cases from the French automobile industry’, International Journal of Production Economics 106(1), 2–11. URL: https://doi.org/10.1016/j.ijpe.2006.04.006

Emory, K., Douma, F. and Cao, J. (2022), ‘Autonomous vehicle policies with equity implications: Patterns and gaps’, Transportation Research Interdisciplinary Perspectives 13. URL: https://doi.org/10.1016/j.trip.2021.100521

Engholm, A., Kristoffersson, I. and Pernestal, A. (2021), ‘Impacts of large-scale driverless truck adoption on the freight transport system’, Transportation Research Part A: Policy and Practice 154, 227–254. URL: https://doi.org/10.1016/j.tra.2021.10.014

Epprecht, N., von Wirth, T., Stünzi, C. and Blumer, Y. B. (2014), ‘Anticipating transitions beyond the current mobility regimes: How acceptability matters’, Futures 60, 30–40. URL: https://doi.org/10.1016/j.futures.2014.04.001

Eriksson, A., Banks, V. A. and Stanton, N. A. (2017), ‘Transition to manual: Comparing simulator with onroad control transitions’, Accident Analysis and Prevention 102, 227–234. URL: https://doi.org/10.1016/j.aap.2017.03.011

Eriksson, A. and Stanton, N. A. (2017a), ‘Driving performance after self-regulated control transitions in highly automated vehicles’, Human Factors 59(8), 1233–1248. URL: https://doi.org/10.1177/0018720817728774

Eriksson, A. and Stanton, N. A. (2017b), ‘Takeover time in highly automated vehicles: Noncritical transitions to and from manual control’, Human Factors 59(4), 689–705. URL: https://doi.org/10.1177/0018720816685832

Figenbaum, E. (2017), ‘Perspectives on norway’s supercharged electric vehicle policy’, Environmental Innovation and Societal Transitions 25, 14–34. URL: https://doi.org/10.1016/j.eist.2016.11.002

Fitt, H., Curl, A., Dionisio, M. R., Ahuriri-Driscoll, A. and Pawson, E. (2019), ‘Considering the wellbeing implications for an ageing population of a transition to automated vehicles’, Research in Transportation Business and Management 30. URL: https://doi.org/10.1016/j.rtbm.2019.100382

Geels, F. W. (2005), ‘The dynamics of transitions in socio-technical systems: A multi-level analysis of the transition pathway from horse-drawn carriages to automobiles (1860–1930)’, Technology Analysis and Strategic Management 17(4), 445–476. URL: https://doi.org/10.1080/09537320500357319

Geels, F. W. (2010), ‘Ontologies, socio-technical transitions (to sustainability), and the multi-level perspective’, Research Policy 39(4), 495–510. URL: https://doi.org/10.1016/j.respol.2010.01.022

Geels, F. W. (2012), ‘A socio-technical analysis of lowcarbon transitions: Introducing the multi-level perspective into transport studies’, Journal of Transport Geography 24, 471–482. URL: https://doi.org/10.1016/j.jtrangeo.2012.01.021

Gereffi, G. (1999), ‘International trade and industrial upgrading in the apparel commodity chain’, Journal of International Economics 48(1), 37–70. URL: https://doi.org/10.1016/S0022-1996(98)00075-0

Greifenstein, M. (2024), ‘Factors influencing the user behaviour of shared autonomous vehicles (savs): A systematic literature review’, Transportation Research Part F: Traffic Psychology and Behaviour 100, 323–345. URL: https://doi.org/10.1016/j.trf.2023.10.027

Grimm, A. and Walz, R. (2024), ‘Current and future roles of the automotive and ict sectoral systems in autonomous driving: Using the innovation system approach to assess value chain transformation’, Technological Forecasting and Social Change 198. URL: https://doi.org/10.1016/j.techfore.2023.122990

Grindsted, T. S., Christensen, T. H., Freudendal-Pedersen, M., Friis, F. and Hartmann-Petersen, K. (2022), ‘The urban governance of autonomous vehicles – in love with avs or critical sustainability risks to future mobility transitions’, Cities 120, 103504. URL: https://doi.org/10.1016/j.cities.2021.103504

Guan, J., Du, X., Zhang, J., Maymin, P., DeSoto, E., Langer, E. and He, Z. (2024), ‘Private vehicle drivers’ acceptance of autonomous vehicles: The role of trait mindfulness’, Transport Policy 149, 211–221. URL: https://doi.org/10.1016/j.tranpol.2024.02.013

Günthner, T., Proff, H., Jovic, J. and Zeymer, L. (2021), ‘Tapping into market opportunities in aging societies – the example of advanced driver assistance systems in the transition to autonomous driving’, International Journal of Automotive Technology and Management 21(1–2), 75–98. URL: https://doi.org/10.1504/IJATM.2021.113352

Haboucha, C. J., Ishaq, R. and Shiftan, Y. (2017), ‘User preferences regarding autonomous vehicles’, Transportation Research Part C: Emerging Technologies 78, 37–49. URL: https://doi.org/10.1016/j.trc.2017.01.010

Hadid, M., Irawan, M. Z., Parikesit, D., Firzan, F., Yunianti, N. H. and Widiastuti, N. O. (2025), ‘Driving the future of sustainable public transport: A literature review on challenges and strategies in the adoption of autonomous buses’, Discover Sustainability. URL: https://doi.org/10.1007/s43621-025-01112-0

Hawxwell, T., Hendriks, A. and Späth, P. (2024), ‘Transformative or incumbent futures? how the future of mobility is imagined in sustainability transitions research’, Futures 159, 103325. URL: https://doi.org/10.1016/j.futures.2024.103325

Hess, D. J. (2020), ‘Incumbent-led transitions and civil society: Autonomous vehicle policy and consumer organizations in the united states’, Technological Forecasting and Social Change 151. URL: https://doi.org/10.1016/j.techfore.2019.119825

Hirschhorn, F., Paulsson, A., Sørensen, C. H. and Veeneman, W. (2019), ‘Public transport regimes and mobility as a service: Governance approaches in amsterdam, birmingham, and helsinki’, Transportation Research Part A: Policy and Practice 130, 178–191. URL: https://doi.org/10.1016/J.TRA.2019.09.016

Hopkins, D. and Schwanen, T. (2018), ‘Automated mobility transitions: Governing processes in the uk’, Sustainability 10(4). URL: https://doi.org/10.3390/su10040956

Hopkins, D. and Schwanen, T. (2021), ‘Talking about automated vehicles: What do levels of automation do?’, Technology in Society 64. URL: https://doi.org/10.1016/j.techsoc.2020.101488

Huang, T. (2023), ‘Psychological factors affecting potential users’ intention to use autonomous vehicles’, PLoS ONE 18(3). URL: https://doi.org/10.1371/journal.pone.0282915

Jiang, L., Chen, H. and Paschalidis, E. (2023), ‘Diffusion of connected and autonomous vehicles concerning mode choice, policy interventions and sustainability impacts: A system dynamics modelling study’, Transport Policy 141, 274–290. URL: https://doi.org/10.1016/j.tranpol.2023.07.029

Jin, K., Zhao, J., Jiang, Q. and Zhong, X. (2026), ‘Drivers and barriers to automated vehicle adoption: A systematic review’, Transportation Research Part D: Transport and Environment 152. URL: https://doi.org/10.1016/j.trd.2025.105177

Karakaya, B. and Bengler, K. (2023), ‘Minimal risk maneuvers of automated vehicles: Effects of a contact analog head-up display supporting driver decisions and actions in transition phases’, Safety 9(1). URL: https://doi.org/10.3390/safety9010007

Kearney (2020), ‘How automakers can survive the self-driving era’. Accessed: 2026-01-20. URL: https://www.kearney.com/industry/automotive/article/-/insights/how-automakers-can-survive-the-self-drivingera

Khan, M. A., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M. and Foss, A. (2023), ‘A user and ridership evaluation of shared autonomous vehicles’, Journal of Urban Planning and Development 149(1). URL: https://doi.org/10.1061/JUPDDM.UPENG-3945

Kim, H. (2019), ‘Trustworthiness of unmanned automated subway services and its effects on passengers’ anxiety and fear’, Transportation Research Part F: Traffic Psychology and Behaviour 65, 158–175. URL: https://doi.org/10.1016/J.TRF.2019.07.014

Kim, J. H., Chun, M. Y., Nhung, D. T. and Lee, J. (2019), ‘The transition of samsung electronics through its m&a with harman international’, Journal of Open Innovation: Technology, Market, and Complexity 5(3). URL: https://doi.org/10.3390/joitmc5030051

Ko, S., Kutchek, K., Zhang, Y. and Jeon, M. (2022), ‘Effects of non-speech auditory cues on control transition behaviors in semi-automated vehicles: Empirical study, modeling, and validation’, International Journal of Human-Computer Interaction 38(2), 185–200. URL: https://doi.org/10.1080/10447318.2021.1937876

Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., McCullough, F. and Mouzakitis, A. (2018), ‘A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications’, IEEE Internet of Things Journal 5(2), 829–846. URL: https://doi.org/10.1109/JIOT.2018.2812300

Köhler, J., Turnheim, B. and Hodson, M. (2020), ‘Low carbon transitions pathways in mobility: Applying the mlp in a combined case study and simulation bridging analysis of passenger transport in the netherlands’, Technological Forecasting and Social Change 151, 119314. URL: https://doi.org/10.1016/j.techfore.2018.06.003

Lang, L. and Mohnen, A. (2019), ‘An organizational view on transport transitions involving new mobility concepts and changing customer behavior’, Environmental Innovation and Societal Transitions 31, 54–63. URL: https://doi.org/10.1016/j.eist.2019.01.005

Lau, S. T. and Susilawati, C. (2021), ‘Shared autonomous vehicles implementation for the first and last-mile services’, Transportation Research Interdisciplinary Perspectives 11, 100440. URL: https://doi.org/10.1016/j.trip.2021.100440

Leitner, J., Miller, L., Stoll, T. and Baumann, M. (2023), ‘Overtake or not – a computer-based driving simulation experiment on drivers’ decisions during transitions in automated driving’, Transportation Research Part F: Traffic Psychology and Behaviour 96, 285–300. URL: https://doi.org/10.1016/j.trf.2023.06.003

Li, G., Li, S. E., Cheng, B. and Green, P. (2017), ‘Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities’, Transportation Research Part C: Emerging Technologies 74, 113–125. URL: https://doi.org/10.1016/j.trc.2016.11.011

Li, S., Garces, E. and Daim, T. (2019), ‘Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles’, Technological Forecasting and Social Change 148. URL: https://doi.org/10.1016/j.techfore.2019.119731

Liang, Q., Li, X.-A., Chen, Z., Pan, T. and Zhong, R. (2023), ‘Day-to-day traffic control for networks mixed with regular human-piloted and connected autonomous vehicles’, Transportation Research Part B: Methodological 178. URL: https://doi.org/10.1016/j.trb.2023.102847

Liu, S. (2020), ‘Critical business decision making for technology startups: A perceptin case study’, IEEE Engineering Management Review 48(4), 32–36. URL: https://doi.org/10.1109/EMR.2020.3022889

Maggi, D., Romano, R. and Carsten, O. (2022a), ‘The effect of inconsistent steering guidance during transitions from highly automated driving’, Accident Analysis and Prevention 167, 106572. URL: https://doi.org/10.1016/j.aap.2022.106572

Maggi, D., Romano, R. and Carsten, O. (2022b), ‘Handing control back to drivers: Exploring the effects of handover procedure during transitions from highly automated driving’, Transportation Research Part F: Traffic Psychology and Behaviour 84, 9–20. URL: https://doi.org/10.1016/j.trf.2021.11.008

Maggi, D., Romano, R. and Carsten, O. (2022c), ‘Transitions between highly automated and longitudinally assisted driving: The role of the initiator in the fight for authority’, Human Factors 64(3), 601–612. URL: https://doi.org/10.1177/0018720820946183

Marletto, G. (2019), ‘Who will drive the transition to self-driving? a socio-technical analysis of the future impact of automated vehicles’, Technological Forecasting and Social Change 139, 221–234. URL: https://doi.org/10.1016/j.techfore.2018.10.023

Martin, R. (2021), ‘Av futures or futures with avs? bridging sociotechnical imaginaries and a multi-level perspective of autonomous vehicle visualisations in praxis’, Humanities and Social Sciences Communications 8(1). URL: https://doi.org/10.1057/s41599-021-00739-4

Marx, R., de Mello, A. M., Zilbovicius, M. and de Lara, F. F. (2015), ‘Spatial contexts and firm strategies: Applying the multilevel perspective to sustainable urban mobility transitions in brazil’, Journal of Cleaner Production 108, 1092–1104. URL: https://doi.org/10.1016/j.jclepro.2015.09.001

Merat, N., Jamson, A. H., Lai, F. F. C. H., Daly, M. and Carsten, O. M. J. (2014), ‘Transition to manual: Driver behaviour when resuming control from a highly automated vehicle’, Transportation Research Part F: Traffic Psychology and Behaviour 26, 1–9. URL: https://doi.org/10.1016/j.trf.2014.05.006

Milakis, D. and Müller, S. (2021), ‘The societal dimension of the automated vehicles transition: Towards a research agenda’, Cities 113. URL: https://doi.org/10.1016/j.cities.2021.103144

Mirnig, A. G., Gärtner, M., Wallner, V., Demir, C., Özkan, Y. D., Sypniewski, J. and Meschtscherjakov, A. (2023), ‘Enlightening mode awareness: Guiding drivers in the transition between manual and automated driving modes via ambient light’, Personal and Ubiquitous Computing 27(6), 2307–2320. URL: https://doi.org/10.1007/s00779-023-01781-6

Mirzadeh Phirouzabadi, A., Blackmore, K., Savage, D. and Juniper, J. (2022), ‘Modelling and simulating a multi-modal and multi-dimensional technology interaction framework: The case of vehicle powertrain technologies in the us market’, Technological Forecasting and Social Change 175. URL: https://doi.org/10.1016/j.techfore.2021.121412

Moradi, A. and Vagnoni, E. (2018), ‘A multi-level perspective analysis of urban mobility system dynamics: What are the future transition pathways?’, Technological Forecasting and Social Change 126, 231–243. URL: https://doi.org/10.1016/j.techfore.2017.09.002

Naujoks, F., Purucker, C., Wiedemann, K. and Marberger, C. (2019), ‘Noncritical state transitions during conditionally automated driving on german freeways: Effects of non-driving related tasks on takeover time and takeover quality’, Human Factors 61(4), 596–613. URL: https://doi.org/10.1177/0018720818824002

Nemoto, E. H., Issaoui, R., Korbee, D., Jaroudi, I. and Fournier, G. (2021), ‘How to measure the impacts of shared automated electric vehicles on urban mobility’, Transportation Research Part D: Transport and Environment 93. URL: https://doi.org/10.1016/j.trd.2021.102766

Nemoto, E. H., Korbee, D., Jaroudi, I., Viere, T., Naderer, G. and Fournier, G. (2023), ‘Integrating automated minibuses into mobility systems – sociotechnical transitions analysis and multi-level perspectives’, Technological Forecasting and Social Change 188. URL: https://doi.org/10.1016/j.techfore.2022.122260

Neto, C., Simoes, A., Cunha, L., Duarte, S. P. and Lobo, A. (2024), ‘Qualitative data collection to identify truck drivers’ attitudes toward a transition to platooning systems’, Accident Analysis and Prevention 195, 107405. URL: https://doi.org/10.1016/j.aap.2023.107405

Nikitas, A., Njoya, E. T. and Dani, S. (2019), ‘Examining the myths of connected and autonomous vehicles: Analysing the pathway to a driverless mobility paradigm’, International Journal of Automotive Technology and Management 19(1–2), 10–30. URL: https://doi.org/10.1504/IJATM.2019.098513

Noruzoliaee, M., Zou, B. and Liu, Y. (2018), ‘Roads in transition: Integrated modeling of a manufacturer-traveler-infrastructure system in a mixed autonomous/human driving environment’, Transportation Research Part C: Emerging Technologies 90, 307–333. URL: https://doi.org/10.1016/j.trc.2018.03.014

Pammer, K., Gauld, C., McKerral, A. and Reeves, C. (2021), “‘they have to be better than human drivers!” motorcyclists’ and cyclists’ perceptions of autonomous vehicles’, Transportation Research Part F: Traffic Psychology and Behaviour 78, 246–258. URL: https://doi.org/10.1016/J.TRF.2021.02.009

Pel, B., Raven, R. and van Est, R. (2020), ‘Transitions governance with a sense of direction: Synchronization challenges in the case of the dutch “driverless car” transition’, Technological Forecasting and Social Change 160. URL: https://doi.org/10.1016/j.techfore.2020.120244

Prasetio, E. A. and Nurliyana, C. (2023), ‘Evaluating perceived safety of autonomous vehicle: The influence of privacy and cybersecurity to cognitive and emotional safety’, IATSS Research 47(2), 160–170. URL: https://doi.org/10.1016/j.iatssr.2023.06.001

Rana, M. M. and Hossain, K. (2023), ‘Connected and autonomous vehicles and infrastructures: A literature review’, International Journal of Pavement Research and Technology 16(2), 264–284. URL: https://doi.org/10.1007/s42947-021-00130-1

Rao, Y. (2020), ‘New energy vehicles and sustainability of energy development: Construction and application of the multi-level perspective framework in china’, Sustainable Computing: Informatics and Systems 27, 100396. URL: https://doi.org/10.1016/j.suscom.2020.100396

Rip, A. and Kemp, R. (1998), Technological change, in ‘Human Choice and Climate Change’, Vol. 2, pp. 327–399.

Roca-Puigròs, M., Marmy, C., Wäger, P. and Müller, D. B. (2023), ‘Modeling the transition toward a zero emission car fleet: Integrating electrification, shared mobility, and automation’, Transportation Research Part D: Transport and Environment 115. URL: https://doi.org/10.1016/j.trd.2022.103576

Rowe, F., Jeanneret Medina, M., Journé, B., Coëtard, E. and Myers, M. (2023), ‘Understanding responsibility under uncertainty: A critical and scoping review of autonomous driving systems’, Journal of Information Technology 39(3), 587–615. URL: https://doi.org/10.1177/02683962231207108

Schepis, D., Purchase, S., Olaru, D., Smith, B. and Ellis, N. (2023), ‘How governments influence autonomous vehicle (av) innovation’, Transportation Research Part A: Policy and Practice 178, 103874. URL: https://doi.org/10.1016/j.tra.2023.103874

Schippl, J. (2024), ‘Technology assessment and the governance of automated vehicles: A collingridgedilemma or a lack in normative orientation?’, Journal of Responsible Innovation 11(1). URL: https://doi.org/10.1080/23299460.2024.2342594

Schippl, J., Truffer, B. and Fleischer, T. (2022), ‘Potential impacts of institutional dynamics on the development of automated vehicles: Towards sustainable mobility?’, Transportation Research Interdisciplinary Perspectives 14. URL: https://doi.org/10.1016/j.trip.2022.100587

Schoettle, B. and Sivak, M. (2014), A survey of public opinion about autonomous and self-driving vehicles in the u.s., the u.k., and australia, Technical report, University of Michigan Transportation Research Institute. URL: http://www.umich.edu/umtriswt

Schrauth, B., Funk, W., Maier, S. and Kraetsch, C.(2021), ‘The acceptance of conditionally automated cars from the perspective of different road user groups’, European Journal of Transport and Infrastructure Research 21(4), 81–103. URL: https://doi.org/10.18757/EJTIR.2021.21.4.5466

Shammut, M. and Imran, M. (2024), ‘Governance of automated mobilities transition in aotearoa new zealand’, Transportation Research Part D: Transport and Environment 133. URL: https://doi.org/10.1016/j.trd.2024.104299

Shammut, M., Imran, M. and Hasan, F. (2022), ‘Conceptualising the adoption of safer autonomous mobilities’, Transportation Planning and Technology 45(5), 403–426. URL: https://doi.org/10.1080/03081060.2022.2115043

Shetty, A., Yu, M., Kurzhanskiy, A., Grembek, O., Tavafoghi, H. and Varaiya, P. (2021), ‘Safety challenges for autonomous vehicles in the absence of connectivity’, Transportation Research Part C: Emerging Technologies 128. URL: https://doi.org/10.1016/j.trc.2021.103133

Sovacool, B. K. and Axsen, J. (2018), ‘Functional, symbolic and societal frames for automobility: Implications for sustainability transitions’, Transportation Research Part A: Policy and Practice 118, 730–746. URL: https://doi.org/10.1016/j.tra.2018.10.008

Sovacool, B. K., Bergman, N., Hopkins, D., Jenkins, K. E., Hielscher, S., Goldthau, A. and Brossmann, B. (2020), ‘Imagining sustainable energy and mobility transitions: Valence, temporality, and radicalism in 38 visions of a low-carbon future’, Social Studies of Science 50(4), 642–679. URL: https://doi.org/10.1177/0306312720915283

Sovacool, B. K., Daniels, C. and AbdulRafiu, A. (2022), ‘Transitioning to electrified, automated and shared mobility in an african context: A comparative review of johannesburg, kigali, lagos and nairobi’, Journal of Transport Geography 98. URL: https://doi.org/10.1016/j.jtrangeo.2021.103256

Stasinopoulos, P., Shiwakoti, N. and Beining, M. (2021), ‘Use-stage life cycle greenhouse gas emissions of the transition to an autonomous vehicle fleet: A system dynamics approach’, Journal of Cleaner Production 278. URL: https://doi.org/10.1016/j.jclepro.2020.123447

Sturgeon, T., Van Biesebroeck, J. and Gereffi, G. (2008), ‘Value chains, networks and clusters: Reframing the global automotive industry’, Journal of Economic Geography 8(3), 297–321. URL: https://doi.org/10.1093/jeg/lbn007

Sun, S. and Wong, Y. D. (2023), ‘Drivers’ attention economy and adoption to autonomous vehicle’, Transport Policy 138, 108–118. URL: https://doi.org/10.1016/j.tranpol.2023.05.006

Sun, Y., Jenelius, E., Burghout, W. and Xie, B. (2023), ‘Evaluation of motorway lane control strategies for mixed flow of autonomous and human-driven vehicles’, Journal of Transportation Engineering, Part A: Systems 149(11). URL: https://doi.org/10.1061/JTEPBS.TEENG-7870

Szabó, D. (2020), ‘Driverless, or carless future? sociotechnical scenarios of autonomous urban mobility in the czech republic’, Transactions on Transport Sciences 11(1), 5–17. URL: https://doi.org/10.5507/TOTS.2020.003

Tang, T., Guo, Y., Souders, D. J., Li, X., Yang, M., Xu, X. and Qian, X. (2025), ‘Moderating effects of policy measures on intention to adopt autonomous vehicles: Evidence from china’, Travel Behaviour and Society 38, 100921. URL: https://doi.org/https://doi.org/10.1016/j.tbs.2024.100921

Tengilimoglu, O., Carsten, O. and Wadud, Z. (2023), ‘Infrastructure requirements for the safe operation of automated vehicles: Opinions from experts and stakeholders’, Transport Policy 133, 209–222. URL: https://doi.org/10.1016/J.TRANPOL.2023.02.001

Topolšek, D., Babić, D., Babić, D. and Ojsteršek, T. C. (2020), ‘Factors influencing the purchase intention of autonomous cars’, Sustainability 12(24), 1–16. URL: https://doi.org/10.3390/su122410303

Trager, J., Kalová, L., Pagany, R. and Dorner, W. (2021), ‘Warning apps for road safety: A technological and economical perspective for autonomous driving–the warning task in the transition from human driver to automated driving’, International Journal of Human-Computer Interaction 37(4), 363–377. URL: https://doi.org/10.1080/10447318.2020.1860545

Trippl, M., Baumgartinger-Seiringer, S., Goracinova, E. and Wolfe, D. A. (2021), ‘Automotive regions in transition: Preparing for connected and automated vehicles’, Environment and Planning A 53(5), 1158–1179. URL: https://doi.org/10.1177/0308518X20987233

Tumminello, M. L., Macioszek, E., Granà, A. and Giuffrè, T. (2023), ‘A methodological framework to assess road infrastructure safety and performance efficiency in the transition toward cooperative driving’, Sustainability 15(12). URL: https://doi.org/10.3390/su15129345

Varotto, S. F., Farah, H., Toledo, T., van Arem, B. and Hoogendoorn, S. P. (2018), ‘Modelling decisions of control transitions and target speed regulations in fullrange adaptive cruise control based on risk allostasis theory’, Transportation Research Part B: Methodological 117, 318–341. URL: https://doi.org/10.1016/j.trb.2018.09.007

Vitale Brovarone, E., Scudellari, J. and Staricco, L. (2021), ‘Planning the transition to autonomous driving: A policy pathway towards urban liveability’, Cities 108, 102996.

Vogelpohl, T., Kühn, M., Hummel, T., Gehlert, T. and Vollrath, M. (2018), ‘Transitioning to manual driving requires additional time after automation deactivation’, Transportation Research Part F: Traffic Psychology and Behaviour 55, 464–482. URL: https://doi.org/10.1016/j.trf.2018.03.019

Wang, J., Huang, Z., Huang, X., Zhu, Y. and Wang, F. (2020), ‘Multiclock constraint system modelling and verification for ensuring cooperative autonomous driving safety’, Journal of Advanced Transportation 2020. URL: https://doi.org/10.1155/2020/8830752

Whitmarsh, L. (2012), ‘How useful is the multi-level perspective for transport and sustainability research?’, Journal of Transport Geography 24, 483–487. URL: https://doi.org/10.1016/j.jtrangeo.2012.01.022

Whittle, C., Whitmarsh, L., Hagger, P., Morgan, P. and Parkhurst, G. (2019), ‘User decision-making in transitions to electrified, autonomous, shared or reduced mobility’, Transportation Research Part D: Transport and Environment 71, 302–319. URL: https://doi.org/10.1016/j.trd.2018.12.014

World Economic Forum (2025), ‘Autonomous vehicles: Timeline and roadmap ahead’, https://reports.weforum.org/docs/WEF_Autonomous_Vehicles_2025.pdf. Accessed: 2026-01-20.

Xing, Y., Zhou, H., Han, X., Zhang, M. and Lu, J. (2022), ‘What influences vulnerable road users’ perceptions of autonomous vehicles? a comparative analysis of the 2017 and 2019 pittsburgh surveys’, Technological Forecasting and Social Change 176, 121454. URL: https://doi.org/10.1016/j.techfore.2021.121454

Yi, B., Cao, H., Song, X., Wang, J., Zhao, S., Guo, W. and Cao, D. (2024), ‘How can the trust-change direction be measured and identified during takeover transitions in conditionally automated driving? using physiological responses and takeover-related factors’, Human Factors 66(4), 1276–1301. URL: https://doi.org/10.1177/00187208221143855

Yoon, S., Kim, Y. and Ji, Y. (2019), ‘The effects of takeover request modalities on highly automated car control transitions’, Accident Analysis and Prevention 123, 150–158. URL: https://doi.org/10.1016/j.aap.2018.11.018

Yu, B., Bao, S., Zhang, Y., Sullivan, J. and Flannagan, M. (2021), ‘Measurement and prediction of driver trust in automated vehicle technologies: An application of hand position transition probability matrix’, Transportation Research Part C: Emerging Technologies 124. URL: https://doi.org/10.1016/j.trc.2020.102957

Zhang, B. and Ji, Y. (2023), ‘Patent actor-network formation from regional innovation to open innovation: a comparison between europe and china’, European Planning Studies 31(5), 925–946. URL: https://doi.org/10.1080/09654313.2022.2132782

Zhou, F., Yang, X. and Zhang, X. (2020), ‘Takeover transition in autonomous vehicles: A youtube study’, International Journal of Human-Computer Interaction 36(3), 295–306. URL: https://doi.org/10.1080/10447318.2019.1634317

Zolfagharian, M., Walrave, B., Raven, R. and Romme, A. G. L. (2019), ‘Studying transitions: Past, present, and future’, Research Policy 48(9), 103788. URL: https://doi.org/10.1016/j.respol.2019.04.012

Čičić, M. and Johansson, K. H. (2022), ‘Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation’, Transportation Research Part B: Methodological 166, 212–236. URL: https://doi.org/10.1016/j.trb.2022.10.008

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2026-07-01

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Nurliyana, C., Lestari, Y. D. ., Prasetio, E. A., & Belgiawan, P. F. (2026). Analyzing Trends and Framework Models for Autonomous Vehicle Transition Strategies. Journal of the Civil Engineering Forum, 12(3), 323–348. https://doi.org/10.22146/jcef.26609

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Vol. 12 No. 3 (September 2026)

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