Personalized Route Recommendation Using F-AHP-Express

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-A...

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Bibliographic Details
Published inSustainability Vol. 14; no. 17; p. 10831
Main Authors Nasution, Surya Michrandi, Husni, Emir, Kuspriyanto, Kuspriyanto, Yusuf, Rahadian
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2022
Subjects
Analytic hierarchy process
Automobile drivers
Complexity
Decision making
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Literature reviews
Methods
Multiple criteria decision making
Multiple criterion
Planning
Preferences
Recommender systems
Road conditions
Roads & highways
Sustainability
Technology application
Traffic
Indonesia
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Summary: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(n2) for their complexity. Thus, the results show that F-AHP-Express is the best method for recommending a personal route.
ISSN:2071-1050
2071-1050
DOI:10.3390/su141710831