Multi-criteria decision-making on road transport vehicles by the AHP method

• Autorzy: Baric Danijela , Zeljko Luka

Identyfikatory

DOI

10.14669/AM.VOL94.ART2

• Języki publikacji: EN

Abstrakty

EN

Decision-making processes require the selection of appropriate and choose the optimal solution for implementation. This means that different criteria and their sub-criteria evaluate various alternatives of possible solutions to determine the optimal solution. The research focuses on an Analytic Hierarchy Process (AHP) as one of the multi-criteria decision-making (MCDM) methods and its implementation to evaluate road transport vehicles. The AHP is one of the most used methods for evaluating projects in transport and traffic area. This paper presents a comprehensive review of studies on road transport vehicles evaluated by the AHP method. To gather research articles for the study, several databases such as Web of Science and Scopus were searched. The focus of the research is on road transport vehicles but the performance of the AHP method in the road sector, in general, is briefly reviewed. The results show that most of the studies use AHP for the evaluation of electric and autonomous vehicles. Finally, research results are discussed and recommendations for future research are proposed.

Słowa kluczowe

EN

transport; vehicles; road; AHP; multi-criteria decision-making

• Wydawca: Wydawnictwo Naukowe Sieci Badawczej Łukasiewicz - Przemysłowego Instytutu Motoryzacji
• Czasopismo: Archiwum Motoryzacji
• Rocznik: 2021
• Tom: Vol. 94, nr 4
• Strony: 17--26
• Opis fizyczny: Bibliogr. 30 poz., rys.

Twórcy

autor

Baric Danijela

• Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva ul. 4, 10000 Zagreb, Croatia

• https://orcid.org/0000-0002-5540-5115

autor

Zeljko Luka

• Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva ul. 4, 10000 Zagreb, Croatia

Bibliografia

• [1] Abdel-Basset M., Gamal A., Moustafa N., Abdel-Monem A., El-Saber N.: A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles. IEEE Access. 2021, 9, 107657–107679, DOI: 10.1109/ACCESS.2021.3098675.
• [2] Ahmed S., Ahmed S., Shumon M.R.H., Falatoonitoosi E., Quader M.A.: A comparative decision-making model for sustainable end-of-life vehicle management alternative selection using AHP and extent analysis method on fuzzy AHP. International Journal of Sustainable Development & World Ecology. 2016, 23(1), 83–97, DOI:10.1080/13504509.2015.1062814.
• [3] Akti S., Celikoglu H.B.: An Integrated Decision-Making Framework for Vehicle Selection in Shuttle Services: Case of A University Campus. 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). Cracow, Poland, 2019, DOI: 10.1109/MTITS.2019.8883389.
• [4] Almeida F., Silva P., Leite J.: Proposal of a carsharing system to improve urban mobility. Theoretical and Empirical Researches in Urban Management. 2017, 12(3), 32–44.
• [5] Anis S., Csiszar C.: Management of Potential Conflicts between Pedestrians and Autonomous Vehicles. Smart City Symposium Prague (SCSP). Czech Republic, 2019, DOI: 10.1109/SCSP.2019.8805678.
• [6] Askary Z., Singh A., Gupta S., Shukla R.K., Jaiswal P.: Development of AHP framework of sustainable product design and manufacturing of the electric vehicle. Lecture Notes in Mechanical Engineering. 2019, 415–422, DOI: 10.1007/978-981-13-6469-3_37.
• [7] Bakioglu G., Atahan A.O.: AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritise risks in self-driving vehicles. Applied Soft Computing. 2021, 99, 106948, DOI: 10.1016/J.ASOC.2020.106948.
• [8] Barić D., Pilko H., Strujić J.: An analytic hierarchy process model to evaluate road section design. Transport. 2016, 31(3), 312–321, DOI: 10.3846/16484142.2016.1157830.
• [9] Biswas T.K., Das M.C.: Selection of Commercially Available Electric Vehicle using Fuzzy AHP-MABAC. Journal of The Institution of Engineers (India): Series C. 2019, 100(3), 531–537, DOI: 10.1007/S40032-018-0481-3.
• [10] Chen J., Zhao P., Liang H., Mei T.: A Multiple Attribute-Based Decision Making Model for Autonomous Vehicle in Urban Environment. IEEE Intelligent Vehicles Symposium Proceedings. USA, 2014, 480–485, DOI: 10.1109/IVS.2014.6856470.
• [11] Dzemydiene D., Burinskiene A., Miliauskas A.: Integration of Multi-Criteria Decision Support with Infrastructure of Smart Services for Sustainable Multi-Modal Transportation of Freights. Sustainability. 2021, 13(9), 4675, DOI: 10.3390/su13094675.
• [12] Dieguez T., Corcetti L., Silva F.J.G., Campilho R.D.S.G., Ferreira L.P.: How can technology on the automotive industry save the future? Procedia Manufacturing. 2020, 51, 1763–1772, DOI: 10.1016/J.PROMFG.2020.10.245.
• [13] Dogan O., Deveci M., Canıtez F., Kahraman C.: A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method. Soft Computing. 2020, 24(12), 8937–8953, DOI:10.1007/S00500-019-04421-5.
• [14] Erbaş M., Kabak M., Özceylan E., Çetinkaya C.: Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis. Energy. 2018, 163, 1017–1031, DOI: 10.1016/J.ENERGY.2018.08.140.
• [15] Fabianek P., Will C., Wolff S., Madlener R.: Green and regional? A multi-criteria assessment framework for the provision of green electricity for electric vehicles in Germany. Transportation Research Part D: Transport and Environment. 2020, 87, 102504, DOI: 10.1016/J.TRD.2020.102504.
• [16] Gilbert A., Petrovic D., Pickering J.E., Warwick K.: Multi-attribute decision making on mitigating a collision of an autonomous vehicle on motorways. Expert Systems with Applications. 2021, 171, 114581, DOI: 10.1016/J.ESWA.2021.114581.
• [17] Gupta S., Ahuja G., Kumar G.: Identification of Optimum Locations for Charging of Electric Vehicles. 7th Int Conf Reliab Infocom Technol Optim Trends Futur Dir ICRITO. 2018, 867–72, DOI: 10.1109/ICRITO.2018.8748280.
• [18] Henke I., Carteni A., Molitierno C., Errico A.: Decision-Making in the Transport Sector: A Sustainable Evaluation Method for Road Infrastructure. Sustainability. 2020, 12(3), 764, DOI: 10.3390/su12030764.
• [19] Hu Z.: Construction and Experimental Study on Subjective Evaluation System of Braking Performance of New Energy Vehicle ABS System. IOP Conference Series: Materials Science and Engineering. 2019, 677(5), 052102, DOI: 10.1088/1757-899X/677/5/052102.
• [20] James A.T., Vaidya D., Sodawala M., Verma S.: Selection of bus chassis for large fleet operators in India: An AHP-TOPSIS Approach. Expert Systems with Applications. 2021, 186, 115760, DOI: 10.1016/J.ESWA.2021.115760.
• [21] Karasan A., Kaya İ., Erdoğan M., Budak A.: Risk analysis of the autonomous vehicle driving systems by using pythagorean fuzzy AHP. Advances in Intelligent Systems and Computing. 2020, 1029, 926–934, DOI:10.1007/978-3-030-23756-1_110.
• [22] Kristina J., Čedomir D., Dimitar K.: Application of Fuzzy Topsis and Ahp Method in Evaluating Vehicle Roadworthiness Performance. Proceedings of the European Automotive Congress EAEC-ESFA 2015, 2016, 69–79, DOI: 10.1007/978-3-319-27276-4_7.
• [23] Lei F., Lv X., Fang J., Li Q., Sun G.: Nondeterministic multi-objective and multi-case discrete optimisation of functionally-graded front-bumper structures for pedestrian protection. Thin-Walled Structures. 2021, 167, 106921, DOI: 10.1016/J.TWS.2020.106921.
• [24] Meyer M.D., Miller E.J.: Urban Transportation Planning: A Decision–Oriented Approach, McGraw-Hill Series in Transportation, 1984.
• [25] Obeidat M.S., Altheeb N.F., Momani A., Al Theeb N.: Analysing the invisibility angles formed by vehicle blind spots to increase driver's field of view and traffic safety. International Journal of Occupational Safety and Ergonomics. 2020, DOI: 10.1080/10803548.2020.1807126.
• [26] Osorio-Tejada J.L., Llera-Sastresa E., Scarpellini S.: A multi-criteria sustainability assessment for biodiesel and liquefied natural gas as alternative fuels in transport systems. Journal of Natural Gas Science and Engineering. 2017, 42, 169–186, DOI: 10.1016/J.JNGSE.2017.02.046.
• [27] Patil M., Majumdar B.B.: An investigation on the key determinants influencing electric two-wheeler usage in urban Indian context. Research in Transportation Business & Management. 2021, 100693, In Press, DOI:10.1016/J.RTBM.2021.100693.
• [28] Saaty T.L.: Transport Planning with Multiple Criteria - the Analytic Hierarchy Process Applications and Progress Review. Journal of Advanced Transportation. 1995, 29(1), 81–126, DOI: 10.1002/atr.5670290109.
• [29] Saaty R.W.: The analytic hierarchy process - What it is and how it is used. Mathematical Modelling. 1987, 9(3-5), 161–176, DOI: 10.1016/0270-0255(87)90473-8.
• [30] Sonar H.C., Kulkarni S.D.: An Integrated AHP-MABAC Approach for Electric Vehicle Selection. Research in Transportation Business & Management. 2021, 100665, In Press, DOI: 10.1016/J.RTBM.2021.100665.