"soft computing"@en . "Computational intelligence in transportation: Short user-oriented guide"@en . "1"^^ . . "RIV/68407700:21260/07:00163831!RIV13-MSM-21260___" . . . . . . "978-0-08-044707-0" . . "Computational intelligence in transportation: Short user-oriented guide" . . "Computational intelligence in transportation: Short user-oriented guide" . "RIV/68407700:21260/07:00163831" . "P\u0159ibyl, Ond\u0159ej" . . "1"^^ . "Amsterdam" . "S" . "18"^^ . "Computational intelligence in transportation: Short user-oriented guide"@en . . "414607" . "This paper provides a very brief introduction to computational intelligence and its application to transportation. The paper complements the many interesting reviews of existing literature and applications, such as in Teodorovic and Vukadinovic, 1998; and Avineri, 2005. This paper has different objectives. It provides guidance for transportation practitioners who are facing real word problems and are interested in applying nowadays popular methods from the field of artificial intelligence or soft computing. It provides a short introduction to this field and basic overview of the theory behind these methods. The major focus of the presentation is on showing the strong and weak points of each of these methods and a proper application field." . "21260" . "Transport Science and Technology" . "Elsevier" . "508"^^ . . "[46038FE61E53]" . . "This paper provides a very brief introduction to computational intelligence and its application to transportation. The paper complements the many interesting reviews of existing literature and applications, such as in Teodorovic and Vukadinovic, 1998; and Avineri, 2005. This paper has different objectives. It provides guidance for transportation practitioners who are facing real word problems and are interested in applying nowadays popular methods from the field of artificial intelligence or soft computing. It provides a short introduction to this field and basic overview of the theory behind these methods. The major focus of the presentation is on showing the strong and weak points of each of these methods and a proper application field."@en .