SAE International Journal of Connected and Automated Vehicles

  • ISSN 2574-075X
SAE International Journal of Connected and Automated Vehicles

Aims & Scope

Connected and Automated Vehicles: An SAE International Journal furthers the state of the art of engineering research by promoting high-quality theoretical and applied investigations in the arena of connected and autonomous vehicles (CAVs) in on-road, off-road, and aerial operational environments. The enormous growth in numbers, diversity, and complexity of CAVs has been driven by: (i) enhancements of fundamental scientific understanding; (ii) technological convergence of computing, communication, and miniaturization; and (iii) increased scale and complexity of tangible embodiments and engineering implementations at the component-, subsystem-, and system-levels.

The Journal seeks to further these goals by publishing peer-reviewed scientific papers that showcase strong theoretical and empirical contributions and findings to the body of engineering knowledge surrounding various facets of the lifecycle treatment (design, modeling, controlling, testing, demonstration, and experimentation) of connected and automated vehicles with an emphasis on the system perspective.

Topics of interest include, but are not limited to, the following within the overall CAV system context:

Technologies

  • Active perception architectures and implementations (radar, vision, lidar) for CAVs
  • Sensors, sensor fusion (infrastructure and vehicle-based) for CAVs
  • Vehicle design, analysis, and control enhancements for CAVs
  • Electrification/vehicle electronics architectures and implementations for CAVs
  • Communication architectures and implementations (V2x) for CAVs
  • Real-time computational paradigms and architectures (AI, model-based) for CAVs
  • Novel actuation paradigms (structural control, reconfigurable systems) for CAVs

Cyber-enabled System Capabilities

  • Big data analysis, cloud computing architectures
  • Vehicle navigation and situational awareness
  • Fault detection and diagnosis, fault tolerant control
  • Cybersecurity and cyber-enhanced security
  • Active- and semi-active connected and automated vehicle control (adaptive, fuzzy, cooperative, neuro, emergent paradigms)
  • Hybrid simulation- and empirical-testing paradigms (model-in-the-loop, hardware-in-the-loop)

Human-in-the-loop Element

  • Active vehicle safety architectures (occupant, pedestrian)
  • Human machine Interaction design (driver- and controller-interfaces)
  • Varying grades of driver-assistance systems
  • Psycho-social facets of shared control (trust, variability)

Subsystem and System Engineering Frameworks

  • Automated Guided Vehicles (AGVs)
  • Multi-vehicle cooperation, connected vehicles, platooning
  • Platooning and fleet management
  • Reproducible testing and validation architectures and paradigms
  • Noise, network failure, faults, reliability analysis
  • Application use cases (warehousing, x-docking, mining, agriculture, military)