Control, Learning and Optimization with Applications in Connected and Autonomous Vehicles
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Control, Learning and Optimization with Applications in Connected and Autonomous Vehicles
Malikopoulos, Andreas A.; Gao, Weinan; Jiang, Zhong-Ping
Institution of Engineering and Technology
06/2026
398
Dura
Inglês
9781837241606
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1: Introduction
Chapter 2: Human-Vehicle Shared Control for Highly Automated Vehicles
Chapter 3: Mesoscopic Control of Traffic with Mixed Autonomy: Sequencing, Platooning, and Routing
Chapter 4: Dissipative Barrier Feedback for Collision Avoidance in Vehicle Platooning
Chapter 5: Privacy-Conscious Data-Enabled Predictive Leading Cruise Control via Affine Masking
Chapter 6: Highway Platoon Merging Control using RL: A Review
Chapter 7: Advances in Motion Prediction and Planning for Autonomous Vehicles: From Classical Methods to Modern AI-Based Approaches
Chapter 8: Data-Driven Predictive Cruise Control and Cooperative Adaptive Cruise Control for Connected and Autonomous Vehicles based on Reinforcement Learning
Chapter 9: Cyber-Resilient Learning-Based Controller Design for Adaptive Cruise Control
Chapter 10: Hierarchical Framework of Network-Level Routing and Trajectory Planning for Emerging Mobility Systems
Chapter 11: Safe Interactions Between Autonomous and Human-Driven Vehicles with Cooperation Compliance for Social Optimality
Chapter 12: Real-time Energy Optimization Approaches for Connected and Automated Hybrid Electric Vehicle
Chapter 13: Stochastic Energy Management Strategies for Connected Hybrid Electric Vehicles
Chapter 2: Human-Vehicle Shared Control for Highly Automated Vehicles
Chapter 3: Mesoscopic Control of Traffic with Mixed Autonomy: Sequencing, Platooning, and Routing
Chapter 4: Dissipative Barrier Feedback for Collision Avoidance in Vehicle Platooning
Chapter 5: Privacy-Conscious Data-Enabled Predictive Leading Cruise Control via Affine Masking
Chapter 6: Highway Platoon Merging Control using RL: A Review
Chapter 7: Advances in Motion Prediction and Planning for Autonomous Vehicles: From Classical Methods to Modern AI-Based Approaches
Chapter 8: Data-Driven Predictive Cruise Control and Cooperative Adaptive Cruise Control for Connected and Autonomous Vehicles based on Reinforcement Learning
Chapter 9: Cyber-Resilient Learning-Based Controller Design for Adaptive Cruise Control
Chapter 10: Hierarchical Framework of Network-Level Routing and Trajectory Planning for Emerging Mobility Systems
Chapter 11: Safe Interactions Between Autonomous and Human-Driven Vehicles with Cooperation Compliance for Social Optimality
Chapter 12: Real-time Energy Optimization Approaches for Connected and Automated Hybrid Electric Vehicle
Chapter 13: Stochastic Energy Management Strategies for Connected Hybrid Electric Vehicles
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
autonomous vehicles; automation; platooning; traffic flow; data; adaptive control; eco-driving; reinforcement learning; traffic; congestion; machine learning; intersections; trajectory planning; sustainable mobility; intelligent vehicles; decision; transport systems; smart cities; nonlinear systems
Chapter 1: Introduction
Chapter 2: Human-Vehicle Shared Control for Highly Automated Vehicles
Chapter 3: Mesoscopic Control of Traffic with Mixed Autonomy: Sequencing, Platooning, and Routing
Chapter 4: Dissipative Barrier Feedback for Collision Avoidance in Vehicle Platooning
Chapter 5: Privacy-Conscious Data-Enabled Predictive Leading Cruise Control via Affine Masking
Chapter 6: Highway Platoon Merging Control using RL: A Review
Chapter 7: Advances in Motion Prediction and Planning for Autonomous Vehicles: From Classical Methods to Modern AI-Based Approaches
Chapter 8: Data-Driven Predictive Cruise Control and Cooperative Adaptive Cruise Control for Connected and Autonomous Vehicles based on Reinforcement Learning
Chapter 9: Cyber-Resilient Learning-Based Controller Design for Adaptive Cruise Control
Chapter 10: Hierarchical Framework of Network-Level Routing and Trajectory Planning for Emerging Mobility Systems
Chapter 11: Safe Interactions Between Autonomous and Human-Driven Vehicles with Cooperation Compliance for Social Optimality
Chapter 12: Real-time Energy Optimization Approaches for Connected and Automated Hybrid Electric Vehicle
Chapter 13: Stochastic Energy Management Strategies for Connected Hybrid Electric Vehicles
Chapter 2: Human-Vehicle Shared Control for Highly Automated Vehicles
Chapter 3: Mesoscopic Control of Traffic with Mixed Autonomy: Sequencing, Platooning, and Routing
Chapter 4: Dissipative Barrier Feedback for Collision Avoidance in Vehicle Platooning
Chapter 5: Privacy-Conscious Data-Enabled Predictive Leading Cruise Control via Affine Masking
Chapter 6: Highway Platoon Merging Control using RL: A Review
Chapter 7: Advances in Motion Prediction and Planning for Autonomous Vehicles: From Classical Methods to Modern AI-Based Approaches
Chapter 8: Data-Driven Predictive Cruise Control and Cooperative Adaptive Cruise Control for Connected and Autonomous Vehicles based on Reinforcement Learning
Chapter 9: Cyber-Resilient Learning-Based Controller Design for Adaptive Cruise Control
Chapter 10: Hierarchical Framework of Network-Level Routing and Trajectory Planning for Emerging Mobility Systems
Chapter 11: Safe Interactions Between Autonomous and Human-Driven Vehicles with Cooperation Compliance for Social Optimality
Chapter 12: Real-time Energy Optimization Approaches for Connected and Automated Hybrid Electric Vehicle
Chapter 13: Stochastic Energy Management Strategies for Connected Hybrid Electric Vehicles
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
