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Using Artificial Intelligence to Solve Transportation Problems [electronic resource] / edited by Aleksander Sładkowski.

Contributor(s): Material type: TextSeries: Studies in Systems, Decision and Control ; 563Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XII, 565 p. 270 illus., 231 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031694875
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
Contents:
Key Artificial Intelligence & Digitalization Solutions Towards Vision Zero in Road Safety -- Usage of Specialized Intellectual and Artificial Intelligence Systems to Improve Railway Transport Technologies -- Numerical Assessment of the Railway Network Functioning -- The Impact of Digitalization and Method of Container Transshipment on Intermodal Freight Transport -- Improvement of Freight Routes Innovative Digital Solutions for Long Term Planning in Kazakh Rail Transport.
In: Springer Nature eBookSummary: This book focuses on the role of Artificial Intelligence in solving transportation problems and presents papers from around the world on AI in transportation. Currently, the development of computer technology and software has led to what can be said to be the beginning of a fundamentally new stage in science and technology. This new level is called “Artificial Intelligence (AI).” AI can be used in any area of human activity. One of the broadest uses of AI comes from transportation, broadly understood. Obviously, it is impossible to present all the possibilities of AI in the field of design, production and operation of transport in one book. But the authors of this monothematic monograph tried to describe achievements in their areas. In particular, the use of AI allows you to save energy and fuel when using vehicles, improve the preparation and implementation of transport processes, simplify warehouse operations, analyze and modernize existing transport infrastructure. These and other aspects of the use of AI in the transport industry are discussed in the monograph by specialists from Greece, China, Poland and other countries. This book can be recommended for study by scientists and professionals. It can also be selected by teachers as additional material when preparing relevant courses. Moreover, it can also be recommended for any readers seriously interested in the transportation industry.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Key Artificial Intelligence & Digitalization Solutions Towards Vision Zero in Road Safety -- Usage of Specialized Intellectual and Artificial Intelligence Systems to Improve Railway Transport Technologies -- Numerical Assessment of the Railway Network Functioning -- The Impact of Digitalization and Method of Container Transshipment on Intermodal Freight Transport -- Improvement of Freight Routes Innovative Digital Solutions for Long Term Planning in Kazakh Rail Transport.

This book focuses on the role of Artificial Intelligence in solving transportation problems and presents papers from around the world on AI in transportation. Currently, the development of computer technology and software has led to what can be said to be the beginning of a fundamentally new stage in science and technology. This new level is called “Artificial Intelligence (AI).” AI can be used in any area of human activity. One of the broadest uses of AI comes from transportation, broadly understood. Obviously, it is impossible to present all the possibilities of AI in the field of design, production and operation of transport in one book. But the authors of this monothematic monograph tried to describe achievements in their areas. In particular, the use of AI allows you to save energy and fuel when using vehicles, improve the preparation and implementation of transport processes, simplify warehouse operations, analyze and modernize existing transport infrastructure. These and other aspects of the use of AI in the transport industry are discussed in the monograph by specialists from Greece, China, Poland and other countries. This book can be recommended for study by scientists and professionals. It can also be selected by teachers as additional material when preparing relevant courses. Moreover, it can also be recommended for any readers seriously interested in the transportation industry.

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