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020 _a9783030041168
024 7 _a10.1007/978-3-030-04116-8
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTL152.8
_b2019 EB
100 1 _aGáspár, Péter
_eautor
_9670983
245 1 0 _aPredictive cruise control for road vehicles using road and traffic information
_cby Péter Gáspár, Balázs Németh
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (X, 226 páginas)
_b103 ilustraciones, 90 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in Industrial Control
_x1430-9491
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aChapter 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.
520 3 _aThis 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.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aAutomóviles
_xControl automático
_9137898
650 7 _2embne
_aIngeniería de tráfico
_9144847
650 7 _2embne
_aSistemas inteligentes de transporte
_9405815
700 1 _aNémeth, Balázs
_eautor
_9670984
776 0 8 _iPrinted edition:
_z9783030041151
776 0 8 _iPrinted edition:
_z9783030041175
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-04116-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_eel
_zSI