Predictive Cruise Control for Road Vehicles Using Road and Traffic Information
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Predictive Cruise Control for Road Vehicles Using Road and Traffic Information

Predictive Cruise Control for Road Vehicles Using Road and Traffic Information


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About the Book

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 Traffic Information.- Chapter 4. Design of Predictive Cruise Control for Safety Critical Vehicle Interactions.- Part II: Analysis of the Traffic flow.- Chapter 5. Relationship Between the Traffic flow and the Cruise Control From the Microscopic Point of View.- Chapter 6. Relationship Between the Traffic flow 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 Traffic flow.- Chapter 8. MPC-Based Coordinated Control Design of the Ramp Metering.- Chapter 9. Data-driven Coordination Design of Traffic Control.- Chapter 10. Cruise Control Design in the Platoon System.- Chapter 11. Simulation and Validation of Predictive Cruise Control.- Appendices.- Index.
About the Author:

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 include linear 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.


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Product Details
  • ISBN-13: 9783030041151
  • Publisher: Springer Nature Switzerland AG
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 14 mm
  • Width: 156 mm
  • ISBN-10: 3030041158
  • Publisher Date: 27 Nov 2018
  • Height: 234 mm
  • No of Pages: 226
  • Series Title: Advances in Industrial Control
  • Weight: 562 gr


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Predictive Cruise Control for Road Vehicles Using Road and Traffic Information
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