Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)
Navid Khademi, Mojtaba Rajabi, Afshin S. Mohaymany, Mahdi Samadzad
| Year of publication: |
March 2016
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|---|---|
| Authors: | Khademi, Navid ; Rajabi, Mojtaba ; Mohaymany, Afshin S. ; Samadzad, Mahdi |
| Published in: |
EURO journal on transportation and logistics. - Berlin : Springer, ISSN 2192-4376, ZDB-ID 2729847-4. - Vol. 5.2016, 1, p. 25-52
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| Subject: | Fuzzy inference | Artificial neural networks | Day-to-day dynamics | Driver behavior | Drivers' perception updating | Drivers' learning | Neuronale Netze | Neural networks | Fuzzy-Set-Theorie | Fuzzy sets | Transportzeit | Travel time | Konsumentenverhalten | Consumer behaviour |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s13676-014-0047-3 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011618265