Autonomous Vehicle Systems Engineering

This research sub-field focuses on the integration and management of control systems, power management, and connectivity in both hybrid and fully electric autonomous vehicles. It encompasses a wide range of topics, including vehicle dynamics, cooperative vehicle control, and urban vehicle detection, all aimed at enhancing the efficiency and safety of autonomous transportation systems.

Autonomous vehicles

Hybrid electric vehicles

Vehicle control systems

Electric vehicle integration

Urban dynamics

Cooperative systems

Power management

Connected vehicles

76,308 papers

Parent topic: Transportation Technology

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Sub-topics

Electric Vehicle Integration Strategies

This cluster examines the integration of electric vehicles into the power grid and their management systems. It focuses on battery management technologies and vehicle-to-grid solutions for maximizing efficiency and utility.

18494 papers

Dynamics of Urban Autonomous Vehicles

This cluster focuses on the dynamics and control of self-driving vehicles operating in urban settings. Key areas of research include motion planning, vehicle dynamics, and the challenges of navigating complex urban environments.

14653 papers

Multi-Agent Cooperative Vehicle Control

This research area explores the coordination and control of multiple vehicles working together through local information exchange. It emphasizes consensus algorithms and cooperative strategies for improving vehicle performance in platoons.

6325 papers

Active Control Systems for Autonomous Vehicles

This research area investigates active control systems designed for autonomous vehicles, integrating various control techniques to ensure safe and efficient driving. It includes predictive control, machine learning applications, and real-time decision-making processes.

5909 papers

Hybrid Electric Vehicle Power Management

This cluster focuses on advanced strategies for managing power in hybrid electric vehicles, particularly in parallel configurations. Research covers optimal control algorithms and energy management techniques that enhance performance and efficiency.

4255 papers

Urban Vehicle Monitoring and Management

Research in this area pertains to monitoring and managing vehicle operations within urban environments, focusing on real-time detection systems and algorithms for traffic flow optimization. It includes automatic vehicle dispatching methods and lane detection.

3548 papers

Vehicle Connectivity and Network Integration

Focusing on the integration of connected and autonomous vehicles within existing networks, this cluster addresses challenges and solutions associated with vehicle-to-vehicle and vehicle-to-infrastructure communications. The emphasis is on enhancing traffic management and energy efficiency.

3119 papers

Intelligent Energy Control for Hybrids

This research area delves into innovative energy control solutions for hybrid vehicles, employing intelligent systems for real-time energy management. It emphasizes machine learning techniques to enhance vehicle power distribution.

1987 papers