A multi-criteria decision-making approach to assess the potential of sustainable smart transportation technologies in Vietnam
Published: July 29, 2026
Abstract
The economic development of a country is closely linked to the management and advancement of its transportation systems. In particular, with the growing demand for transportation infrastructure, smart transportation has emerged as a topic of significant interest among both academic and industrial communities. This study aims to contribute to the field of smart transportation by exploring and analyzing the potential of technologies in supporting the development of transportation systems. To achieve this objective, the study integrates fuzzy theory with Multi-Criteria Decision-Making (MCDM) methods to evaluate and select the most suitable potential technologies for the implementation of smart transportation systems. Specifically, the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) are employed. Criteria such as Data, Socio-environmental impact, Economic factors, and Flexibility are incorporated into the analysis to ensure a comprehensive and effective implementation of smart transportation systems.
Keywords
transportationsmart transportationFAHPFTOPSIS
References
1.
A. H. Ganesh, A. H. Shobana, R. Ramesh. (2021). Identification of critical path for the analysis of bituminous road transport network using integrated FAHP - FTOPSIS method. Mater Today Proc, 37(Part 2), 193–206, doi: 10.1016/J.MATPR.2020.05.015.
C. C. Sun. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst Appl, 37(12), 7745–7754, doi: 10.1016/J.ESWA.2010.04.066.
H. M. Lyu, S. L. Shen, A. Zhou, et al. (2020). Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP. Science of The Total Environment, 717, p. 135310, doi: 10.1016/J.SCITOTENV.2019.135310.
İ. Ertuğrul, N. Karakaşoğlu. (2008). Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. The International Journal of Advanced Manufacturing Technology, 39, 783-795, doi: 10.1007/s00170-007-1249-8.
R. Yadav, H. H. Lee. (2022). Ranking and selection of dental restorative composite materials using FAHP-FTOPSIS technique: An application of multi criteria decision making technique. J Mech Behav Biomed Mater, 132, p. 105298, doi: 10.1016/J.JMBBM.2022.105298.
T. Yang, C. C. Hung. (2007). Multiple-attribute decision making methods for plant layout design problem. Robot Comput Integr Manuf, 23(1), 126–137, doi: 10.1016/J.RCIM.2005.12.002.
Tseng, Yung-yu, Michael AP Taylor, Wen Long Yue. (2005). The role of transportation in logistics chain. Eastern Asia Society for Transportation Studies.
10.
X. Li, K. Wang, L. Liuz, J. Xin, H. Yang, et al. (2011). Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines. Procedia Eng, 26, 2085–2091, doi: 10.1016/J.PROENG.2011.11.2410.
Y. Yang, Y. Wang. (2020). Supplier Selection for the Adoption of Green Innovation in Sustainable Supply Chain Management Practices: A Case of the Chinese Textile Manufacturing Industry. Processes, 8(6), p. 717, doi: 10.3390/pr8060717.
