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  • © 2018

UR:BAN Human Factors in Traffic

Approaches for Safe, Efficient and Stress-free Urban Traffic

  • Urban Driver Assistance Systems
  • Human Machine Interaction
  • Evaluation of Driver Assistance Systems
  • Most recent and biggest national funded research project on Driver Assistance
  • Includes supplementary material: sn.pub/extras

Part of the book series: ATZ/MTZ-Fachbuch (ATZMTZ)

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Table of contents (29 chapters)

  1. Front Matter

    Pages i-xiv
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. The Research Initiative UR:BAN

      • Eberhard Hipp, Klaus Bengler, Ulrich Kressel, Stefan Feit
      Pages 3-26
  3. Urban Driving

    1. Front Matter

      Pages 27-27
    2. A Meta-perspective on Research Activities in UR:BAN Human Factors in Traffic

      • Matthias Graichen, Verena Nitsch, Berthold Färber
      Pages 29-46
  4. Human-Machine Interaction for Urban Environments

    1. Front Matter

      Pages 47-47
    2. HMI Strategy – Warnings and Interventions

      • Susann Winkler, Matthias Powelleit, Juela Kazazi, Mark Vollrath, Wolfgang Krautter, Andreas Korthauer et al.
      Pages 75-103
    3. HMI Strategy – Lateral and Longitudinal Control

      • Sonja Hofauer, Britta Michel, Sigrun Weise, Anna Julia Karmann, Frank Diermeyer, Amelie Stephan et al.
      Pages 105-118
    4. HMI Strategy – Recommended Action

      • Lena Rittger, Martin Götze
      Pages 119-150
  5. Behaviour Prediction and Intention Detection

    1. Front Matter

      Pages 151-151
    2. Analysing Behavioural Data from On-Road Driving Studies: Handling the Challenges of Data Processing

      • Matthias Graichen, Verena Nitsch, Berthold Färber
      Pages 163-182
    3. Lane Change Prediction: From Driver Characteristics, Manoeuvre Types and Glance Behaviour to a Real-Time Prediction Algorithm

      • Matthias Beggiato, Timo Pech, Veit Leonhardt, Philipp Lindner, Gerd Wanielik, Angelika Bullinger-Hoffmann et al.
      Pages 205-221
    4. Application of a Driver Intention Recognition Algorithm on a Pedestrian Intention Recognition and Collision Avoidance System

      • Frederik Diederichs, Nina Brouwer, Horst Klöden, Peter Zahn, Bernhard Schmitz
      Pages 267-284
  6. Simulation and Modelling of Road Users’ Behaviour

    1. Front Matter

      Pages 285-285

About this book

The UR:BAN MV project funded by the German Federal Ministry for Economic Affairs and Energy BMWi focused specifically on the user of future vehicle assistance and information systems. In the case of advanced driver assistance systems for urban areas, the primary emphasis is safety in combination with efficiency and comfort. Research institutes and automotive industry have investigated human-vehicle interaction and behaviour of different traffic participants.
This book gives a unique and comprehensive insight into the results. Driver assistance and information systems were optimized for use in urban settings. Furthermore, innovative test regimes for controllability testing and new evaluation techniques like networked simulators and virtual reality test-beds are described including statistical methodologies.


Editors and Affiliations

  • Lehrstuhl für Ergonomie, Technische Universität München, Garching, Germany

    Klaus Bengler

  • Konzernforschung, Volkswagen Aktiengesellschaft , Wolfsburg, Germany

    Julia Drüke

  • Lehrstuhl für Verkehrstechnik, TU München , München, Germany

    Silja Hoffmann

  • Human-Machine Interaction, Robert Bosch GmbH , Stuttgart, Germany

    Dietrich Manstetten

  • Würzburger Institut für Verkehrswissenschaften, Veitshöchheim, Germany

    Alexandra Neukum

About the editors

Prof. Klaus Bengler, Head of Chair of Ergonomics, Technical University of Munich; Project Leader UR:BAN MV "Human Factors in Traffic"
Dr. Julia Drüke (born Werneke), Senior Expert Driver Interaction, Volkswagen AG, Group Research; Subproject Leader UR:BAN MMI “Human-Machine Interaction for Urban Environments” 
Dr. Silja Hoffmann, Head of Research Group on Modelling and Simulation, Technical University of Munich; Assistant Subproject Leader UR:BAN SIM “Simulation”
Dr. Dietrich Manstetten, Chief Expert Human-Machine Interaction, Robert Bosch GmbH; 
73, 125);">Subproject Leader UR:BAN VIE “Behaviour Prediction and Intention Detection”Alexandra Neukum, Head of Research Group on Traffic Sciences, Würzburg Institute for Traffic Sciences GmbH; Subproject Leader UR:BAN KON „Controllability"

Bibliographic Information

  • Book Title: UR:BAN Human Factors in Traffic

  • Book Subtitle: Approaches for Safe, Efficient and Stress-free Urban Traffic

  • Editors: Klaus Bengler, Julia Drüke, Silja Hoffmann, Dietrich Manstetten, Alexandra Neukum

  • Series Title: ATZ/MTZ-Fachbuch

  • DOI: https://doi.org/10.1007/978-3-658-15418-9

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden GmbH 2018

  • Hardcover ISBN: 978-3-658-15417-2Published: 10 July 2017

  • Softcover ISBN: 978-3-658-21515-6Published: 15 August 2018

  • eBook ISBN: 978-3-658-15418-9Published: 22 June 2017

  • Series ISSN: 2628-104X

  • Series E-ISSN: 2628-1058

  • Edition Number: 1

  • Number of Pages: XIV, 519

  • Number of Illustrations: 244 b/w illustrations

  • Topics: Automotive Engineering, Engine Technology

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access