Shahedi Alireza, Dadashpour Iman, Rezaei Mahdi
Department of Mechanical, Energy, Management, and Transportation Engineering (DIME), University of Genova, Genova, Italy.
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Heliyon. 2023 May 9;9(5):e15975. doi: 10.1016/j.heliyon.2023.e15975. eCollection 2023 May.
The acceptance of AI-based intelligent transportation systems requires addressing the existing barriers and the adoption of macro-decisions and policies by policymakers and governments. This study evaluates the potential barriers to the adoption of Autonomous Vehicles (AVs) in developing countries by considering the sustainability dimensions. The barriers are identified by conducting a comprehensive literature review and studying the academic experts' opinions in related industries. By identifying the main barriers to the sustainable adoption of AVs, a synthesized approach of the Rough Best-Worst Method (RBWM) and Interval-Rough Multi-Attributive Border Approximation Area Comparison (IR-MABAC) is utilized for weighting and evaluating each barrier in this context. According to the results of this study, the "inflation rate", "lack of internet connection quality", and "learning challenges and difficulties to use the AVs" are the top challenges and barriers to the AV adoption which need to be considered by policymakers. As the main contribution of this research, we provide efficient insights on a macro policy scale for decision-makers with respect to the main barriers to the implementation of AVs technology. From the AVs literature and to the best of our knowledge, this is the first study of its kind that considers the barriers to the AV technology implementation through the sustainability concept.
基于人工智能的智能交通系统的接受需要克服现有障碍，并需要政策制定者和政府做出宏观决策并采取相关政策。本研究通过考虑可持续性维度，评估了发展中国家采用自动驾驶汽车（AVs）的潜在障碍。通过进行全面的文献综述并研究相关行业学术专家的意见来识别这些障碍。通过确定自动驾驶汽车可持续采用的主要障碍，在这种情况下采用了粗糙最佳-最差方法（RBWM）和区间粗糙多属性边界近似区域比较法（IR-MABAC）的综合方法来对每个障碍进行加权和评估。根据本研究的结果，“通货膨胀率”、“互联网连接质量不足”以及“学习使用自动驾驶汽车的挑战和困难”是采用自动驾驶汽车的首要挑战和障碍，政策制定者需要予以考虑。作为本研究的主要贡献，我们在宏观政策层面为决策者提供了关于自动驾驶汽车技术实施主要障碍的有效见解。就我们所知，从自动驾驶汽车的文献来看，这是同类研究中首次通过可持续性概念来考虑自动驾驶汽车技术实施障碍的研究。
