Investigation and analysis of implementation challenges for autonomous vehicles in developing countries using hybrid structural modeling

The advent of autonomous vehicles (AV) heralds yet another turning point in the evolution of the urban landscape, our daily lives, and the advancement of human civilization as a whole. A very disruptive technology, whose implementation will have ramifications for road safety, air pollution, travel behavior, parking issues, commute time, and other aspects of daily life. The introduction of autonomous vehicles for regular transportation in developed countries is expected to take place over the next decade. Its implementation would be impossible for developing countries for another five decades, at the very least. However, there is potential for its use in selected applications soon. This paper investigates and analyzes the challenges that will be faced in the widespread adoption AV in developing countries. The literature is used to identify a variety of challenges which are then modeled using a hybrid approach that incorporates both ISM (Interpretive Structural Modeling) and MICMAC (Matrice d'impacts croisés multiplication appliquée á un classment) techniques. The results of this analysis would help policy makers and AV manufacturers to understand the level of significance of each challenge and its interrelations. This would help them to focus on critical challenges and initiate remedial actions.

• Record URL:
  https://doi.org/10.1016/j.techfore.2022.122080
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0040162522006011
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
• Supplemental Notes:
  • © 2022 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Kumar, Girish
  • James, Ajith Tom
  • Choudhary, Krishna
  • Sahai, Rishi
  • Song, Weon Keun
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 122080
• Serial:
  • Technological Forecasting and Social Change
  • Volume: 185
  • Issue Number: 0
  • Publisher: Elsevier Science Publishing Company, Incorporated
  • ISSN: 0040-1625
  • Serial URL: http://www.sciencedirect.com/science/journal/00401625

Subject/Index Terms

• TRT Terms: Acceptance; Autonomous vehicles; Developing countries; Implementation; Stakeholders; Technological innovations
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01862588
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 27 2022 1:46PM