UR:BAN Human Factors in Traffic: Approaches for Safe, Efficient and Stress-free Urban Traffic (ATZ/MTZ-Fachbuch)

This book gives a unique insight in approaches that optimize driver assistance and driver information systems for the urban usage. Furthermore innovative test regimes for controllability testing and new evaluation techniques like networked simulators and virtual reality test-beds are described including statistical methodologies. Contents UR:BAN ? the project.- Human Factors in Traffic.- Urban Traffic.- Human-Machine Interaction for Urban Environments.- Behavior Prediction and Intention Detection.- Simulation and Simulators.- Controllability Testing. Target audiences Publisher. Read more... Abstract: 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. Read more... Front Matter....Pages i-xiv Front Matter....Pages 1-1 The Research Initiative UR:BAN....Pages 3-26 Front Matter....Pages 27-27 A Meta-perspective on Research Activities in UR:BAN Human Factors in Traffic....Pages 29-46 Front Matter....Pages 47-47 Introduction of Human-Machine Interaction for Urban Environments....Pages 49-51 The “HMI tool kit” as a Strategy for the Systematic Derivation of User-Oriented HMI Concepts of Driver Assistance Systems in Urban Areas....Pages 53-74 HMI Strategy – Warnings and Interventions....Pages 75-103 HMI Strategy – Lateral and Longitudinal Control....Pages 105-118 HMI Strategy – Recommended Action....Pages 119-150 Front Matter....Pages 151-151 Behaviour Prediction and Intention Detection in UR:BAN VIE – Overview and Introduction....Pages 153-162 Analysing Behavioural Data from On-Road Driving Studies: Handling the Challenges of Data Processing....Pages 163-182 Predicting Strategies of Driving in Presence of Additional Visually Demanding Tasks: Inverse Optimal Control Estimation of Steering and Glance Behaviour Models....Pages 183-204 Lane Change Prediction: From Driver Characteristics, Manoeuvre Types and Glance Behaviour to a Real-Time Prediction Algorithm....Pages 205-221 Fusion of Driver Behaviour Analysis and Situation Assessment for Probabilistic Driving Manoeuvre Prediction....Pages 223-244 Human Focused Development of a Manoeuvre Prediction in Urban Traffic Situations Based on Behavioural Sequences....Pages 245-265 Application of a Driver Intention Recognition Algorithm on a Pedestrian Intention Recognition and Collision Avoidance System....Pages 267-284 Front Matter....Pages 285-285 Simulation and Modelling Within the UR:BAN Project....Pages 287-289 Methodology and Results for the Investigation of Interactions Between Pedestrians and Vehicles in Real and Controlled Traffic Conditions....Pages 291-310 Understanding Interactions Between Bicyclists and Motorists in Intersections....Pages 311-324 Analysis and Modelling of the Operational and Tactical Behaviour of Bicyclists....Pages 325-345 Urban Interaction – Getting Vulnerable Road Users into Driving Simulation....Pages 347-362 Encounters Between Drivers with and Without Cooperative Intelligent Transport Systems....Pages 363-377 Front Matter....Pages 285-285 The Multi-Driver Simulation: A Tool to Investigate Social Interactions Between Several Drivers....Pages 379-391 A New Approach to Investigate Powered Two Wheelers’ Interactions with Passenger Car Drivers: the Motorcycle – Car Multi-Driver Simulation....Pages 393-402 Multi-Road User Simulation: Methodological Considerations from Study Planning to Data Analysis....Pages 403-418 Front Matter....Pages 419-419 Development and Evaluation of Methods to Assess Controllability and Safety in Use Within the UR:BAN Project....Pages 421-422 Validity of Research Environments – Comparing Criticality Perceptions Across Research Environments....Pages 423-446 Emergency Steering Systems – Controllability Investigations with the Vehicle in the Loop....Pages 447-460 Consideration of the Available Evading Space for the Evaluation of the Driver Reaction to Emergency Steering Interventions....Pages 461-478 Designing Emergency Steering and Evasion Assist to Enhance Safety in Use and Controllability....Pages 479-494 Integrating Different Kinds of Driver Distraction in Controllability Validations....Pages 495-519 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. The Content UR:BAN - the program.- Human Factors in Traffic.- Urban Driving.- Human-Machine Interaction for Urban Environments.- Behaviour Prediction and Intention Detection.- Simulation and Modelling.- Controllability and Safety. The Target Groups Automotive Engineers and Human Factors Experts - Researchers in the area of traffic psychology and human factors in traffic - Students in human factors, information technology, mechanical and electrical engineering 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. Dietric h Manstetten, Chief Expert Human-Machine Interaction, Robert Bosch GmbH; 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"