Assisted Eco-Driving: A Practical Guide to the Design and Testing of an Eco-Driving Assistance System (EDAS) (Transportation Human Factors)

This book discusses an integrative approach combining Human Factors expertise with Automotive Engineering. It develops an in-depth case study of designing a fuel-efficient driving intervention and offers an examination of an innovative study of feed-forward eco-driving advice. Assisted Eco-Driving: A Practical Guide to the Design and Testing of an Eco-Driving Assistance System offers an examination of an innovative study of feed-forward eco-driving advice based on current vehicle and road environment status. It presents lessons, insights and utilises a documented scientific and research-led approach to designing novel speed advisory and fuel use minimisation systems suitable for combustion vehicles, hybrids and electric vehicles The audience consists of system designers and those working with interfaces and interactions, UX, human factors and ergonomics and system engineering. Automotive academics, researchers, and practitioners will also find this book of interest. Cover Half Title Series Page Title Page Copyright Page Contents List of Figures List of Tables List of Common Symbols Preface About the Authors Acknowledgements List of Abbreviations Chapter 1: Eco-Driving: Reducing Emissions from Everyday Driving Behaviours Introduction Transportation Contribution to GHG Eco-Driving Eco-Driving Knowledge Eco-Driving Training Feedback and Eco-Driving Eco-Driving Feedback in Other Sensory Modalities Conclusions References Chapter 2: Applying Cognitive Work Analysis to Understand Fuel-Efficient Driving Introduction Cognitive Work Analysis Method Results and Discussion Work Domain Analysis Control Task Analysis Strategies Analysis Social Organisation and Cooperation Analysis Worker Competency Analysis Generating Specifications Conclusions References Chapter 3: Adaptive Driver Modelling in Eco-Driving Assistance Systems Introduction ADAS for Safety and Eco-Driving Models of Driver Behaviour Car-Following Behaviour Cornering Behaviour Methods Hardware Naturalistic Data Collection Results Car-Following Cornering Discussion Comparison of Models with Naturalistic Data Parameters Characterising Driver Behaviour Limitations Conclusions References Chapter 4: Taming Design with Intent Using Cognitive Work Analysis Introduction Designing Interfaces Cognitive Work Analysis Research Goal Method Participants Procedure Results and Discussion Workshop 1 - Waiting at Traffic Lights Design of the Display Workshop 2 - Accelerating to Overtake Design of the Display Validation of the Display General Discussion Conclusions References Chapter 5: Applying Design with Intent to Support Creativity in Developing Vehicle Fuel Efficiency Interfaces Introduction Vehicle Fuel Efficiency Design with Intent Toolkit Rationale Summary Case Study Participants Procedure Review of the Ideas and Final Coding Design Results & Discussion Driver Acceptance Validation Methodology Participants Measures Procedure Validation Results & Discussion General Discussion Use of the DwI Toolkit Realising Eco-Driving through Design Conclusion References Chapter 6: Incorporating Driver Preferences into Eco-Driving Optimal Controllers Introduction Literature Review Optimal Control Models of Vehicle Following Models of Cornering Speed The Driver Satisfaction Model Development of Cost Function and Constraints Choice of Weighting Parameters Incorporation of Cornering Constraints Comparison of the Model with IDM Model Validation Method Results and Analysis Usage Example Conclusion References Chapter 7: Receding Horizon Eco-Driving Assistance Systems for Electric Vehicles Introduction Speed Advisory Problem Vehicle Motion and Driver Modelling Vehicle Motion Dynamics Driver Preference Model Electric Powertrain Energy Consumption Model Driving Losses Powertrain Losses Full-Horizon Optimisation Boundary Conditions Car-Following Case Cornering Case Receding Horizon Control Boundary Conditions Lead Vehicle Trajectory Prediction Receding Horizon Cost Function Terminal Cost Selection MPC without Terminal Cost MPC with Terminal Cost Test Case Under Real-World Driving Data References Chapter 8: In Simulator Assessment of a Feedforward Visual Interface to Reduce Fuel Use Introduction Hypotheses Method Design Participants Equipment and Driving Scenario Procedure Measures and Analysis Results ANOVAs Fuel Usage Average Speed Speed RMS Deviation Mean Acceleration Acceleration Time Mean Braking Deceleration Braking Time Workload Discussion Effects on Driving Style Effects on Fuel Consumption Effects on Cognitive Workload Limitations Opportunities for Future Work Conclusion References Chapter 9: Assisted versus Unassisted Eco-Driving for Electrified Powertrains Introduction Powertrain Models Conventional Powertrain Parallel Hybrid Powertrain Battery Electric Powertrain Study Method Equipment Study Design Statistical Analysis Results Discussion Limitations Conclusions References Chapter 10: Predictive Eco-Driving Assistance on the Road Introduction System Architecture Perception Layer GPS-Based Localisation Long-Range Radar Sensing Vehicle ECU Decision Layer Fuel Consumption Model Driver Preference Model Predictive Optimisation of Vehicle Speed Action Layer Visual Interface Simulator Testing Test Procedure Results On-Road Testing Test Procedure Results Discussion Limitations Conclusions References Chapter 11: Designing for Eco-Driving: Guidelines for a More Fuel-Efficient Vehicle and Driver Introduction Chapter Summaries Future Work Summary of Guidelines, by Chapter Chapter 1 Chapter 2 Chapter 3 and Chapter 6 Chapter 4 and Chapter 5 Chapter 7 Chapter 8 Chapter 9 Chapter 10 Author Index Subject Index "The audience consists of system designers and those working with interfaces and interactions, UX, human factors and ergonomics, and system engineering. Automotive academics, researchers, and practitioners will also find this book of interest"-- Provided by publisher.