Flexible route planning for sightseeing with fuzzy random and fatigue-dependent satisfactions

Takashi Hasuike, Hideki Katagiri, Hiroe Tsubaki, Hiroshi Tsuda

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper proposes a flexible route planning problem for sightseeing with fuzzy random variables for travel times and satisfaction with activities under general sightseeing constraints. Travel time between sightseeing sites and satisfactions with activities depend on weather and climate conditions, and on traveler fatigue, so both fuzzy random variables for travel times and satisfactions and traveler fatigue-dependence are introduced. Tourists are likely to plan favored without drastically changing from the optimal route under usual conditions such as fine weather that suddenly changes for the worse. A route planning problem is proposed to obtain a favorite route similar to the optimal route under usual conditions. Trapezoidal fuzzy numbers and order relations are introduced as a basic case of fuzzy numbers. From order relations, the proposed model is transformed into an extended model of network optimization problems. A numerical example is used to compare the proposed model to standard route planning problems in sightseeing.

Original languageEnglish
Pages (from-to)190-196
Number of pages7
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume18
Issue number2
Publication statusPublished - 2014 Mar
Externally publishedYes

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Travel time
Fatigue of materials
Random variables
Planning

Keywords

  • Flexibility
  • Fuzzy random and fatigue-dependent satisfactions
  • Mathematical modelling
  • Route planning for sightseeing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Flexible route planning for sightseeing with fuzzy random and fatigue-dependent satisfactions. / Hasuike, Takashi; Katagiri, Hideki; Tsubaki, Hiroe; Tsuda, Hiroshi.

In: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 18, No. 2, 03.2014, p. 190-196.

Research output: Contribution to journalArticle

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