A Review of Artificial Intelligence-Enhanced Fuzzy Multi-Criteria Decision-Making Approaches for Sustainable Transportation Planning
Source abstract
Abstract
Transportation systems are rapidly transforming in response to urbanization, sustainability challenges, and advances in digital technologies. This review synthesizes the intersection of artificial intelligence (AI), fuzzy log... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Transportation and Mobility Innovations · Transportation Planning and Optimization · Transportation Systems and Logistics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (98)
Show source-provided references
1. Enhancing highway transportation safety resilience during emergencies: a network-based analysis and assessment10.1371/journal.pone.0307233 ↗
2. Optimal performance selection of sustainable mobility service projects based on IFSS-Prospect theory-VIKOR: a case study of electric vehicle sharing program10.1371/journal.pone.0309512 ↗
3. Cubic bipolar fuzzy VIKOR and ELECTRE-II algorithms for efficient freight transportation in Industry 4.010.3934/math.20231249 ↗
4. Urban sustainable transportation planning strategies for livable City’s quality of life10.1016/j.habitatint.2018.10.002 ↗
5. Thinking organic, acting civic: the paradox of planning for Cities in Evolution10.1016/j.landurbplan.2016.06.002 ↗
6. A systematic approach to evaluate risks and failures of public transport systems with a real case study for bus rapid system in Istanbul10.1016/j.scs.2019.101951 ↗
7. Smart urban transport and logistics: a business analytics perspective10.1111/poms.13775 ↗
8. Collaborative intuitionistic fuzzy-AHP to evaluate simulation-based analytics for freight transport10.1016/j.eswa.2023.120116 ↗
9. Development of a comprehensive safety evaluation mechanism for the highway bus industry10.1177/03611981241287538 ↗
10. Deep learning algorithms for traffic forecasting: a comprehensive review and comparison with classical ones10.1155/2024/9981657 ↗
11. Fuzzy logic as a decision-making support tool in planning transport development10.5604/01.3001.0015.8154 ↗
12. Saxena RR. Artificial intelligence in traffic systems. arXiv:2412.12046. 2024.
13. The analytic hierarchy process—what it is and how it is used10.1016/0270-0255(87)90473-8 ↗
14. Qu · Advances in neural networks-ISNN 2008 · 2008 · 37410.1007/978-3-540-87732-5_42 ↗
15. Fuzzy sets10.1016/S0019-9958(65)90241-X ↗
16. Chen SJ, Hwang CL. Fuzzy multiple attribute decision making. 1992 [cited 2025 Apr 11]. Available from: http://link.springer.com/10.1007/978-3-642-46768-4.10.1007/978-3-642-46768-4_5 ↗
17. Assessing the sustainability of alternative transport infrastructures
18. Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal
19. Galińska · Integration as solution for advanced smart urban transport systems · 2018 · 161
20. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement10.1016/j.ijsu.2010.02.007 ↗
21. A systematic literature review of business intelligence technology, contribution and application for higher education
22. A systematic literature review of the improved agile software development
23. Multi-objective decision making for vehicle routing problem with fuzzy due time
24. Iglesias · Computational intelligence in decision and control · 2008 · 30710.1142/9789812799470_0050 ↗
25. A transport mode selection method for multimodal transportation based on an adaptive ANN system
26. A hybrid model of fuzzy and AHP for handling public assessments on transportation projects10.1007/s11116-008-9181-9 ↗
27. A conceptual model for intermodal freight logistics centre location decisions10.1016/j.sbspro.2010.04.039 ↗
28. Parametric approach and genetic algorithm for multi objective linear programming with imprecise parameters10.1007/s12597-010-0005-2 ↗
29. Bi · ICLEM 2010 · 2010 · 260010.1061/41139(387)363 ↗
30. Fuzzy theory and AHP applied to urban rail transit operation opinion
31. Wang · Artificial intelligence and computational intelligence · 2011 · 57110.1007/978-3-642-23881-9_74 ↗
32. Intelligent decision support for effectively evaluating and selecting ships under uncertainty in marine transportation10.1016/j.eswa.2012.01.003 ↗
33. Multi-criteria route planning based on a driver’s preferences in multi-criteria route selection10.1016/j.trc.2014.01.001 ↗
34. Optimal control of automatic train operation based on multi-scale dynamic programming
35. A fuzzy multi-criteria decision support system for evaluating subsea oil pipeline routing criteria in East Malaysia10.1007/s12665-015-4499-z ↗
36. Lopez-Garcia · Advances in artificial intelligence · 2016 · 29010.1007/978-3-319-44636-3_27 ↗
37. Decision support system for planning traffic operations assets10.1061/(ASCE)IS.1943-555X.0000358 ↗
38. A group decision making support system in logistics and supply chain management10.1016/j.eswa.2017.07.014 ↗
39. Solving a multi-objective location routing problem for infectious waste disposal using hybrid goal programming and hybrid genetic algorithm
40. Big data cloud computing framework for low carbon supplier selection in the beef supply chain10.1016/j.jclepro.2018.07.236 ↗
41. Application of fuzzy theory in the optimization algorithm of the indicator weight for railway passenger transport safety evaluation
42. Safety evaluation of high speed railway LTE-R communication system based on AHP and fuzzy comprehensive evaluation
43. A user monitoring road traffic information collection using SUMO and scheme for road surveillance with deep mind analytics and human behavior tracking
44. Multi-objective multi-facility green manufacturing closed-loop supply chain under uncertain environment10.1108/AA-09-2018-0138 ↗
45. Research on the most throwing position of UAV based on mathematical modeling
46. Optimization the waste management based on genetic algorithm multiobjective
47. A novel nondominated sorting simplified swarm optimization for multi-stage capacitated facility location problems with multiple quantitative and qualitative objectives10.1016/j.asoc.2019.105684 ↗
48. Research on coordinated development of a railway freight collection and distribution system based on an “entropy-TOPSIS coupling development degree model” integrated with machine learning10.1155/2020/8885808 ↗
49. An intelligent coupling 3-grade fuzzy comprehensive evaluation approach with AHP for selection of levitation controller of maglev trains10.1109/ACCESS.2020.2991300 ↗
50. Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment10.1016/j.asoc.2019.105864 ↗
51. A hybrid intelligent approach to integrated fuzzy multiple depot capacitated green vehicle routing problem with split delivery and vehicle selection10.1109/TFUZZ.2019.2946110 ↗
52. Application of analytic hierarchy process-fuzzy comprehensive evaluation in public transport of ulaanbaatar city, Mongolia
53. An ANFIS based derivations of inference rules for users’ adoptions of autonomous vehicles
54. Prediction of transportation costs using trapezoidal neutrosophic fuzzy analytic hierarchy process and artificial neural networks10.1109/ACCESS.2021.3098657 ↗
55. Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach10.1016/j.scitotenv.2021.149068 ↗
56. Developing sustainable road infrastructure performance indicators using a model-driven fuzzy spatial multi-criteria decision making method10.1016/j.rser.2020.110538 ↗
57. The evaluation of operational efficiencies of Turkish airports: an integrated spherical fuzzy AHP/DEA approach10.1016/j.asoc.2022.108620 ↗
58. Impact of E-scooters on pedestrian safety: a field study using pedestrian crowd-sensing
59. From traditional to electrified urban road networks: the integration of fuzzy analytic hierarchy process and GIS as a tool to define a feasibility index—an Italian case study10.3390/wevj13070116 ↗
60. Evaluating the pedestrian gap acceptance in semicontrolled midblock crosswalks with an integrated AHP-FL approach10.1061/JTEPBS.0000720 ↗
61. Identification and prioritization of connected vehicle technologies for sustainable development in Iran10.1016/j.techsoc.2021.101829 ↗
62. A fuzzy Einstein-based decision support system for public transportation management at times of pandemic10.1016/j.knosys.2022.109414 ↗
63. Analysis of industry 4.0 implementation in mobility sector: an integrated approach based on QFD, BWM, and stratified combined compromise solution under fuzzy environment
64. Assessing the barriers of digitally sustainable transportation system for persons with disabilities using Fermatean fuzzy double normalization-based multiple aggregation method10.1016/j.asoc.2022.109910 ↗
65. Improving cyclists’ safety using intelligent situational awareness system10.3390/su15042866 ↗
66. Spacecraft tracking control and synchronization: an assessment of conventional, unconventional, and combined methods10.1016/j.asr.2022.07.056 ↗
67. Development of an optimized maintenance scheduling for emergency rescue railway wagons using a genetic algorithm: a case study of Iran railways company10.1108/IJQRM-04-2022-0129 ↗
68. Green distribution route optimization of medical relief supplies based on improved NSGA-II algorithm under dual-uncertainty10.3390/su151511939 ↗
69. Benchmark and survey of automated machine learning frameworks10.1613/jair.1.11854 ↗
70. A hybrid approach based on dual hesitant q-rung orthopair fuzzy Frank power partitioned Heronian mean aggregation operators for estimating sustainable urban transport solutions10.1016/j.engappai.2023.106505 ↗
71. Adoption of energy consumption in urban mobility considering digital carbon footprint: a two-phase interval-valued Fermatean fuzzy dominance methodology10.1016/j.engappai.2023.106836 ↗
72. Fuzzy decision based energy-evolutionary system for sustainable transport in ubiquitous fog network
73. Risk analysis of human evacuation aboard passenger ships based on fuzzy DEMATEL-ISM-BN10.1016/j.oceaneng.2024.119520 ↗
74. Using DEMATEL, clustering, and fuzzy logic for supply chain evaluation of electric vehicles: a SCOR model10.3934/environsci.2024008 ↗
75. Customer feedback analysis using aspect based sentiment analysis and fuzzy analytic hierarchy process
76. The critical success factors of smart port digitalization development in the post-COVID-19 era10.1016/j.cstp.2024.101231 ↗
77. Location and capacity optimization of EV charging stations using genetic algorithms and fuzzy analytic hierarchy process10.1007/s10098-024-02986-w ↗
78. An algorithmic approach to minimize road accidents in the highway system using Hamiltonian fuzzy influence graphs10.1007/s00521-024-10874-z ↗
79. Data-driven multi-criteria assessment framework for analyzing the reliability of bus services10.1177/03611981231185140 ↗
80. Evaluation of micromobility risk management alternatives using interval-valued q-rung orthopair fuzzy interaction operators-based WISP method10.1016/j.asoc.2024.111496 ↗
81. A hybrid suitability mapping model integrating GIS, machine learning, and multi-criteria decision analytics for optimizing service quality of electric vehicle charging stations10.1016/j.scs.2024.105397 ↗
82. Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach10.1016/j.scs.2024.105546 ↗
83. A hybrid approach based on magnitude-based fuzzy analytic hierarchy process for estimating sustainable urban transport solutions10.1016/j.engappai.2024.109112 ↗
84. An advanced spatial decision model for strategic placement of off-site hydrogen refueling stations in urban areas10.1016/j.etran.2024.100375 ↗
85. Design of dual-channel supply chain network based on the Internet of Things under uncertainty
86. Artificial intelligence-enabled smart city management using multi-objective optimization strategies10.1111/exsy.13574 ↗
87. Investigating the electric vehicle adoption initiatives for achieving sustainable development goals10.1016/j.sftr.2025.100469 ↗
88. Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives10.1016/j.asoc.2009.08.021 ↗
89. Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea10.1016/j.apm.2013.04.040 ↗
90. Pythagorean fuzzy AHP based risk assessment methodology for hazardous material transportation: an application in Istanbul10.1007/s11356-021-13223-y ↗
91. Assessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction site10.1007/s00521-023-08948-5 ↗
92. Hydrogen production facility location selection for Black Sea using entropy based TOPSIS under IVPF environment10.1016/j.ijhydene.2019.12.183 ↗
93. A survey on reinforcement learning models and algorithms for traffic signal control10.1145/3068287 ↗
94. Recent advances in reinforcement learning for traffic signal control: a survey of models and evaluation10.1145/3447556.3447565 ↗
95. Multi-agent deep reinforcement learning for large-scale traffic signal control10.1109/TITS.2019.2901791 ↗
96. Adoption-driven data science for transportation planning: methodology, case study, and lessons learned10.3390/su12156001 ↗
97. Big-data driven framework to estimate vehicle volume based on mobile device location data10.1177/03611981231174240 ↗
98. Leveraging big data to drive smarter and sustainable transportation policies10.4018/979-8-3693-7984-4.ch018 ↗