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Analyzing Trends and Framework Models for Autonomous Vehicle Transition Strategies

Journal of the Civil Engineering Forum · Vol. 12 No. 3 (2026) · hlm. 323–348

DOI
10.22146/jcef.26609
ISSN
2549-5925, 2581-1037
Terbit
2026-07-01
Penerbit
Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
Bahasa
eng

Abstrak

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.

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26 penulis · 67 tautan kepenulisan bersama · 13 lintas organisasi

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  • Bandung Institute of Technology
  • Universitas Airlangga
  • Binus University
  • Universitas Indo Global Mandiri
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Rekan penulisOrganisasiArtikel bersama
Reza Ashari NasutionBandung Institute of Technology2
Lidia MayangsariBandung Institute of Technology2
Satria Fadil PersadaBinus University1
Michelle FericaBandung Institute of Technology1
Nila Armelia WindasariBandung Institute of Technology1
Nisful LailaUniversitas Airlangga1
Abdurrahman AbdurrahmanBandung Institute of Technology1
Aurik GustomoBandung Institute of Technology1
Sonny RustiadiBandung Institute of Technology1
Faridatus SaidahBandung Institute of Technology1
Sudarso Kaderi WiryonoBandung Institute of Technology1
Raden Aswin RahadiBandung Institute of Technology1
Annisa Rahmani QastharinBandung Institute of Technology1
Christoforine Agatha SetiawanBandung Institute of Technology1
Dimas Bayu Endrayana DharmowijoyoUniversitas Indo Global Mandiri1
Liane OkdinawatiBandung Institute of Technology1
M. Setyawan SantosoAfiliasi tidak diketahui1
Indira Ayu AdzhaniBandung Institute of Technology1
Bambang Sigit PramonoAfiliasi tidak diketahui1
Mohamed Yusuf Faridian WirayatBandung Institute of Technology1
Muhammad Rafi FathurahmanBandung Institute of Technology1
Mursyid Hasan BasriBandung Institute of Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.ugm.ac.id/v3/jcef/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Analyzing Trends and Framework Models for Autonomous Vehicle Transition Strategies</dc:title>
	<dc:creator>Nurliyana, Cintia</dc:creator>
	<dc:creator>Lestari, Yuliani Dwi </dc:creator>
	<dc:creator>Prasetio, Eko Agus</dc:creator>
	<dc:creator>Belgiawan, Prawira Fajarindra</dc:creator>
	<dc:subject xml:lang="en-US">Autonomous vehicle</dc:subject>
	<dc:subject xml:lang="en-US">Transition</dc:subject>
	<dc:subject xml:lang="en-US">Bibliometric</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada</dc:publisher>
	<dc:date>2026-07-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.ugm.ac.id/v3/JCEF/article/view/26609</dc:identifier>
	<dc:identifier>10.22146/jcef.26609</dc:identifier>
	<dc:source xml:lang="en-US">Journal of the Civil Engineering Forum; Vol. 12 No. 3 (September 2026); 323-348</dc:source>
	<dc:source>2549-5925</dc:source>
	<dc:source>2581-1037</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.ugm.ac.id/v3/JCEF/article/view/26609/7239</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 The Author(s)</dc:rights>
</oai_dc:dc>