{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:25:07Z","timestamp":1777703107937,"version":"3.51.4"},"reference-count":44,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2015,6,23]],"date-time":"2015-06-23T00:00:00Z","timestamp":1435017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology"],"published-print":{"date-parts":[[2015,6,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The aim of this paper is to explore route choice on road networks. The route choice model is divided into three levels: the generation of alternatives, the perception of alternatives and choice set, and finally the choice of alternatives belonging to the choice set. A deterministic, selective, multi-criteria approach is used to generate the routes. A covering measure is calculated by comparing observed and generated paths to take into account which routes are currently chosen. With regards to perception level, some simplifying hypotheses are assumed: one choice set is considered, the perception probability of the considered choice set is equal to one, and all the alternatives are characterized by the same probability to be perceived. Choice level is treated using two different approaches: a random utility model and a fuzzy utility model are specified, calibrated and validated. A new fuzzy utility model is specified in order to simulate route choice level. The specified models are compared in order to highlight their similarities, advantages and disadvantages. The database used for calibrations is obtained with a survey carried out in Catania (Italy), concerning dairy products delivery to local retailers. The models are calibrated.It is possible to open new lines of research by comparing the results obtained from consolidated logit models and from fuzzy models.<\/jats:p>","DOI":"10.3233\/ifs-141375","type":"journal-article","created":{"date-parts":[[2015,6,26]],"date-time":"2015-06-26T06:15:18Z","timestamp":1435299318000},"page":"2015-2027","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Route choice on road transport system: A\u00a0fuzzy approach"],"prefix":"10.1177","volume":"28","author":[{"given":"Maria","family":"Luisa De Maio","sequence":"first","affiliation":[{"name":"Public Transport Planning, Azienda Trasporti Verona Srl, Verona, Italy"},{"name":"Dipartimento di Ingegneria dell\u2019Informazione, delle Infrastrutture e dell\u2019Energia \rSostenibile, Universit\u00e0 Mediterranea di Reggio Calabria, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonino","family":"Vitetta","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria dell\u2019Informazione, delle Infrastrutture e dell\u2019Energia \rSostenibile, Universit\u00e0 Mediterranea di Reggio Calabria, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,6,23]]},"reference":[{"key":"e_1_3_2_2_2","article-title":"Traffic assignment model with fuzzy travel time information","author":"Akiyama T","year":"1997","unstructured":"AkiyamaTKawaharaT1997Traffic assignment model with fuzzy travel time informationIn Proceedings of the Ninth mini-Euro conferenceBelgrade Budva Montenegro","journal-title":"In Proceedings of the Ninth mini-Euro conference"},{"key":"e_1_3_2_3_2","first-page":"1","article-title":"Akiva, Highway assignment method based on behavioural models of car driver\u2019s route choice","volume":"1220","author":"Antonisse RW","year":"1985","unstructured":"AntonisseRWDalyAJBenME1985Akiva, Highway assignment method based on behavioural models of car driver\u2019s route choiceTransportation Research Record1220111","journal-title":"Transportation Research Record"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.04.043"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2008.08.003"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8116(95)00002-J"},{"key":"e_1_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Ben-AkivaMEBierlaireMDiscrete choice methods and their applications to short term travel decisions Chapter for the Transportation Science Handbook Preliminary Draft1999","DOI":"10.1007\/978-1-4615-5203-1_2"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130821"},{"key":"e_1_3_2_9_2","article-title":"Route Sampling Correction for Stochastic Route Choice Set Generation","author":"Bovy P","year":"2009","unstructured":"BovyPBekhorSPratoC2009Route Sampling Correction for Stochastic Route Choice Set Generation88th Annual Meeting of the Transportation Research BoardWashington D.C., USA","journal-title":"88th Annual Meeting of the Transportation Research Board"},{"key":"e_1_3_2_10_2","article-title":"Fuzzy utility theory for analysing discrete choice behaviour","author":"Cantarella GE","year":"2003","unstructured":"CantarellaGEFedeleV2003Fuzzy utility theory for analysing discrete choice behaviourProceedings of the Fourth International Symposium on Uncertainty Modelling and Analysis","journal-title":"Proceedings of the Fourth International Symposium on Uncertainty Modelling and Analysis"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2005.04.002"},{"key":"e_1_3_2_12_2","unstructured":"CascettaENuzzoloARussoFVitettaA1996A new route choice logit model overcoming IIA problems specification and some calibration results for interurban networksProceedings of the 13th International Symposium on Transportation Traffic TheoryLesortJean-BaptistePergamon Press"},{"key":"e_1_3_2_13_2","unstructured":"CascettaE2001Transportation systems engineering: Theory and methodsKluwer Academic PublisherDordrecht The Netherlands"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(00)00036-X"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-2615(00)00041-2"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.2298\/YJOR0401001D"},{"key":"e_1_3_2_17_2","doi-asserted-by":"crossref","unstructured":"De MaioM.L2013Fuzzy utility models: Possible applications in evacuation conditions in smart cities. 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