Personalized Route Recommendation Using F-AHP-Express

Surya Michrandi Nasution, Emir Husni (), Kuspriyanto Kuspriyanto and Rahadian Yusuf
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Surya Michrandi Nasution: School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia
Emir Husni: School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia
Kuspriyanto Kuspriyanto: School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia
Rahadian Yusuf: School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia

Sustainability, 2022, vol. 14, issue 17, 1-28

Abstract: The route recommendation system helps the driver find the best route between origin and destination. A recommendation system often suggests its decision without considering some criteria. This paper proposes a multicriteria decision-making method, namely Fuzzy—Analytic Hierarchy Process—Express (F-AHP-Express) for recommending a personal travel route from several alternative routes. It is calculated based on the driving preferences of a driver and road conditions for each road segment. We compare the F-AHP-Express to others; Fuzzy—Analytic Hierarchy Process (F-AHP) and Fuzzy—Analytic Hierarchy Process—Technique for Others Preference by Similarity to Ideal Solution (F-AHP-TOPSIS), for its recommendation results, time processing, agility, and complexity. Our experiments show that F-AHP-Express could deliver similar recommendation results compared to other methods, and it is additionally the fastest method. F-AHP-Express is 45% and 23% faster than F-AHP and F-AHP-TOPSIS, respectively. F-AHP-Express not only has the fastest time processing among the others but also has the least judgments in agility testing. It needs 37.5% and 16.67% fewer judgments from F-AHP and F-AHP-TOPSIS, respectively. Moreover, AHP-Express has a complexity of O (n) , meanwhile, the others have O (n 2 ) for their complexity. Thus, the results show that F-AHP-Express is the best method for recommending a personal route.

Keywords: personalized route recommendation system; multicriteria decision making; driving preferences; F-AHP-Express (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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