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Grouping trips by fuzzy similarity for scheduling of demand‐responsive transportation vehicles
A method which groups trip reservations is presented and tested for application to scheduling demand responsive transportation vehicles. The method is used for examining similarity among the individual trips and grouping them before any of the existing scheduling algorithms is applied. Trips are grouped based on the fuzzy notion of similarity. The strength of similarity is expressed by the fuzzy similarity grade. This method emulates the subjective trip grouping process which is normally performed under manual scheduling, and implements such a process under the computerized scheduling environment. The effectiveness of the method is demonstrated by comparing two schedules: one without using the grouping method and the other using the method. The latter case is shown to yield more efficient fleet utilization, less passenger disutility, and less computation time than the former. The method uses the fuzzy integral concept in developing the overall similarity by aggregating different similarity criteria. This approach may be applied to other pattern matching and classification problems in transportation planning.
Grouping trips by fuzzy similarity for scheduling of demand‐responsive transportation vehicles
A method which groups trip reservations is presented and tested for application to scheduling demand responsive transportation vehicles. The method is used for examining similarity among the individual trips and grouping them before any of the existing scheduling algorithms is applied. Trips are grouped based on the fuzzy notion of similarity. The strength of similarity is expressed by the fuzzy similarity grade. This method emulates the subjective trip grouping process which is normally performed under manual scheduling, and implements such a process under the computerized scheduling environment. The effectiveness of the method is demonstrated by comparing two schedules: one without using the grouping method and the other using the method. The latter case is shown to yield more efficient fleet utilization, less passenger disutility, and less computation time than the former. The method uses the fuzzy integral concept in developing the overall similarity by aggregating different similarity criteria. This approach may be applied to other pattern matching and classification problems in transportation planning.
Grouping trips by fuzzy similarity for scheduling of demand‐responsive transportation vehicles
Kikuchi, Shinya (author) / Vukadinovic, Natasa (author)
Transportation Planning and Technology ; 18 ; 65-80
1994-01-01
16 pages
Article (Journal)
Electronic Resource
Unknown
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