Advances in Human Factors of Transportation (eBook, PDF)

Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation, July 24-28, 2019, Washington D.C., USA
Redaktion: Stanton, Neville

• Format: PDF

Produktbeschreibung

This book discusses the latest advances in research and development, design, operation and analysis of transportation systems and their complementary infrastructures. It reports on both theories and case studies on road and rail, aviation and maritime transportation. Further, it covers a wealth of topics, from accident analysis, vehicle intelligent control, and human-error and safety issues to next-generation transportation systems, model-based design methods, simulation and training techniques, and many more. A special emphasis is placed on smart technologies and automation in transport, and on the user-centered, ergonomic and sustainable design of transport systems. The book, which is based on the AHFE 2019 International Conference on Human Factors in Transportation, held on July 24-28, 2019, in Washington D.C., USA, mainly addresses the needs of transportation system designers, industrial designers, human-computer interaction researchers, civil and control engineers, as well as vehicle system engineers. Moreover, it represents a timely source of information for transportation policy-makers and social scientists whose work involves traffic safety, management, and sustainability issues in transport.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 834
• Erscheinungstermin: 5. Juni 2019
• Englisch
• ISBN-13: 9783030205034
• Artikelnr.: 57625842

Inhaltsangabe

Empirical Validation of a Checklist for Heuristic Evaluation of Automated Vehicle HMIs.- A Novel Method for Designing Metaphor-Based Driver-Vehicle Interaction Concepts in Automated Vehicles.- Vocal Guidance of Visual Gaze During an Automated Vehicle Handover Task.- How Do You Want to be Driven? Investigation of Different Highly-Automated Driving Styles on a Highway Scenario.- Using Technology Acceptance Model to Explain Driver Acceptance of Advanced Driver Assistance Systems.- Bayesian Artificial Intelligence-Based Driver for Fully Automated Vehicle with Cognitive Capabilities.