This book focuses on the design of a multi-criteria automated vehicle longitudinal control system as an enhancement of the adaptive cruise control system. It analyses the effects of various parameters on the average traffic speed and the traction force of the vehicles in mixed traffic from a macroscopic point of view, and also demonstrates why research and development in speed control and predictive cruise control is important. The book also summarises the main steps of the system's robust control design, from the modelling to its synthesis, and discusses both the theoretical background and the practical computation method of the control invariant sets.

The book presents the analysis and verification of the system both in a simulation environment and under real-world conditions. By including the systematic design of the predictive cruise control using road and traffic information, it shows how optimization criteria can lead to multiobjective solutions, and the advanced optimization and control design methods required. The book focuses on a particular method by which the unfavourable effect of the traffic flow consideration can be reduced. It also includes simulation examples in which the speed design is performed, while the analysis is carried out in simulation and visualization environments.

This book is a valuable reference for researchers and control engineers working on traffic control, vehicle control and control theory. It is also of interest to students and academics as it provides an overview of the strong interaction between the traffic flow and an individual vehicle cruising from both a microscopic and a macroscopic point of view.

Explains fuel-efficient vehicle cruise control Discusses the design of individual vehicles and their interaction with the traffic environment Includes the theoretical background as well as detailing simulations of real-world vehicle/traffic interaction and the results of practical experiments

Autorentext
Péter Gáspár received both M.Sc. and Ph.D. degrees from the Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME) in 1985 and 1997, respectively, and his D.Sc. degree in Control from the Hungarian Academy of Sciences (HAS) in 2007. Since 2016 he has been a corresponding member of the HAS. In 1990 he became a Senior Research Fellow at the Systems and Control Laboratory (SCL), Computer and Automation Research Institute (MTA SZTAKI), and since 2007 he has been a Research Professor. He is Head of the Vehicle Dynamics and Control Research Group at SCL and is also a Full Professor at the Department of Control for Transportation and Vehicle Systems, BME. He is a member of IFAC Technical Committees on both Automotive Control and Transportation Systems. He is a co-author of 5 books on control theory and has published 118 journal papers, 7 book chapters and 275 papers in conference proceedings. His research interests includelinear and nonlinear systems, robust control, multi-objective control, system identification and identification for control. His research and industrial work has involved mechanical systems, vehicle structures, vehicle control and autonomous vehicles.

Balázs Németh is a Senior Research Fellow of the Vehicle Dynamics and Control Research Group. He has been working at the Institute for Computer Science and Control since 2007. He received his Ph.D. degree in Transportation Sciences from Budapest University of Technology and Economics in 2013. He is an honorary Associate Professor of Budapest University of Technology and Economics, and he has lectured in control system theory and vehicle control courses. He has published 25 journal papers, 2 books, 1 book chapter and 85 papers in conference proceedings. His main research areas are autonomous vehicle control systems, energy-optimal control of road vehicles and platoons, nonlinear analysis and synthesis of integrated vehicle control systems.

Inhalt
Chapter 1. Introduction.- Part I: Predictive Cruise Control.- Chapter 2. Design of Predictive Cruise Control Using Road Information.- Chapter 3. Design of Predictive Cruise Control Using Road and Trafc Information.- Chapter 4. Design of Predictive Cruise Control for Safety Critical Vehicle Interactions.- Part II: Analysis of the Trafc ow.- Chapter 5. Relationship Between the Trafc ow and the Cruise Control From the Microscopic Point of View.- Chapter 6. Relationship Between the Trafc ow and the Cruise Control from the Macroscopic Point of View.- Part III: Control Strategies.- Chapter 7. Control Strategy of the Ramp Metering in the Mixed Trafc ow.- Chapter 8. MPC-Based Coordinated Control Design of the Ramp Metering.- Chapter 9. Data-driven Coordination Design of Trafc Control.- Chapter 10. Cruise Control Design in the Platoon System.- Chapter 11. Simulation and Validation of Predictive Cruise Control.- Appendices.- Index.