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Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles.

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles.

・ISBN 978-1-138-03502-7 hard GB£ 187.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781315269689
著者・編者Fisher, Donald L. / Horrey, William J. / Lee, John D. / Regan, Michael A. (eds.),
出版社 (CRC Press, UK)
出版年月2020
ページ数552 pp.
言語ENG
ニュース番号<A00-31671>

解説

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles

Subject Guide: Ergonomics & Human Factors

Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and human-automation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential.

Features

  • Addresses four major transportation challenges-crashes, congestion, carbon emissions, and accessibility-from a human factors perspective
  • Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles
  • Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind
  • Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles
  • Leverages lessons from other domains in understanding human interactions with automation
  • Sets the stage for future research by defining the space of unexplored questions