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SAE International Journal of Connected and Automated Vehicles

Call for Papers for Special Issue on Infrastructure Connectivity: Applied Research, Innovative Applications, and Best Practices

Call for Papers for Special Issue on Requirement and Specification Development for Complex Automated Vehicle Systems

Call for Papers for Special Issue on Recent Advances in Robots and Autonomous Systems in Military Operations

Call for Papers for Special Issue on Intelligent Vehicle Dynamics and Control

Call for Papers for Special Issue on Technological Features and Legal Issues of Autonomous Vehicles

Call for Papers for Special Issue on Sustainable and Smart Energy Management for the Intelligent Transportation System

Call for Papers for Special Issue on Advances in Unmanned Aerial Vehicles with Fuzzy Fused Hierarchical Deep Neural Network

Call for Papers for Special Issue on Autonomous Learning and Adaptive Control for Smart Transportation

Call for Papers for Special Issue on Advanced Tools and Technologies for Connected Vehicles

Call for Papers for Special Issue on Advances in P2P Sensor Networks for Smart Transportation

Call for Reviewers

Prof. Dr. Daniel Watzenig, Graz University of Technology and Virtual Vehicle Research Center, Austria
Terry Fruehling, LionThorn, LLC, USA

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Aims and Scope
The SAE International Journal of Connected and Automated Vehicles 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 articles 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:


  • 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)

This journal is a member of COPE (Committee on Publication Ethics). The journal’s publication processes and ethics policies follow COPE guidelines.

Editorial Board


Prof. Dr. Daniel Watzenig, Graz University of Technology and Virtual Vehicle Research Center, Austria
Daniel Watzenig received his doctoral degree in electrical engineering from Graz University of Technology, Austria, in 2006. In 2009 he received the venia docendi (associate professorship) for Electrical Measurement and Signal Processing. Since 2017 he has been a Full Professor of Automated Driving at the Institute of Automation and Control, Graz University of Technology. In addition, he is Divisional Director and Scientific Head of the Automotive Electronics and Software Department of the Virtual Vehicle Research Center in Graz. Since 2015, he has been the Vice President of the ARTEMIS Industry Association (European Research Association on Embedded Control Systems).

His research interests focus on sense & control of automated vehicles, digital signal processing, uncertainty estimation and quantification, and stochastic optimization. He is the author or co-author of more than 160 peer-reviewed papers, book chapters, patents, and articles. In 2005 he served as a visiting researcher at the University of Auckland, New Zealand, working on multi-sensor data fusion. In 2011 and 2017 he served as a visiting researcher and guest lecturer at the Federal University of Rio de Janeiro. He is the Austrian representative (appointed by the Austrian Federal Ministry of Transport) of Electrified, Connected, and Automated Vehicles within the International Energy Agency (IEA). Since 2016 he has been the Chair of the Task Force on “Methods and Tools for Virtual Development and Validation” of the European Automotive Research Partners Association (EARPA).

Terry Fruehling, LionThorn, LLC, USA
Terry Fruehling’s 40-year engineering career includes positions with Medical, Automotive, and Communication companies. He has served in a technical leadership position for the design, development, and manufacturing of mission critical systems. This effort has resulted in the production and deployment of more than 10 million units related to safety critical systems such as ABS electronic controllers, pressure transducers, and speed/position sensors for GM, Ford, Chrysler and Harley Davidson Vehicles. His medical-based product release repertoire also includes heart-lung machines, kidney dialysis pumps, Cardioplegia machines and air bubble detectors. He has also launched secured rack modems for the banking industry. He holds nine functional safety patents that expanded the diagnostic monitoring and safety mechanism capabilities of embedded microcontrollers, such as the lock-step CPU with functional compare (including real-time BIST), data stream monitor and on chip instrumentation. He is a recognized International lecturer and consultant serving numerous companies to assess safety architectures and develop safety-related process methodologies. His work included SBIR efforts with Honeywell aerospace to develop improved prognostic/diagnostic tools for fault-tolerant data busses.

Terry has been a member of the ISO 26262 working group since 2010, US part 2 lead, and an expert for the SOTIF committee. He is also a member of the SAE J3131 On Road Automated Driving Reference Architecture Interface Committee. He holds a Biomedical Engineering Degree from Purdue University and is a member of SAE, IEEE, and ISSS.

Associate Editors
Xian-Xu (Frank) Bai, Hefei University of Technology, China
Saeed Barbat, Executive Technical Leader for Safety, Ford Motor Company, USA
Madhur Behl, Computer Science, Systems and Information Engineering, University of Virginia, USA
Johannes Betz, University of Pennsylvania, USA
Sourabh Bhattacharya, Mechanical Engineering, Iowa State University, USA
Hoseinali Borhan, Cummins, Inc., USA
Andrew Bradley, Oxford Brookes University, UK
Zachary Doerzaph, Virginia Tech Transportation Institute, USA
Robert Fischer, Geospatial Transportation Information Management Association, USA
Zonghua Gu, Umeå University, Sweden
Umar Zakir Abdul Hamid, China Euro Vehicle Technology AB, Sweden
Chuan Hu, University of Alaska Fairbanks, USA
Valentin Ivanov, Technische Universität Ilmenau, Germany
Ken Kang, Honda R&D Americas, Inc., USA
Pardis Khayyer, Aptiv Corporation, USA
Ashoka Kumar, IntelliPredikt Technologies, India
Robert Lange, Principal, Exponent, Engineering and Scientific Consulting, USA
Abdel-Ra'ouf Mayyas, Automotive Engineering/ Polytechnic School, Arizona State University, USA
Steven Muldoon, GM, USA
Muthuvel Murugan, U.S. Army Research Laboratory, USA
Eric Nutt, Mandli, USA
Georgios Papaioannou, KTH Royal Institute of Technology, Sweden
Benjamin Saltsman, Magna International, USA
Hrishikesh Venkataraman, Indian Institute of Information Technology (IIIT) Sri City, India
Ziran Wang, Toyota Motor North America R&D, USA
Guoyuan Wu, Center for Environmental Research and Technology (CE-CERT), University of CA, Riverside, USA
Kevin Quanzhong Yan, Chrysler Technology Center, FCA US LLC, USA
Hui Zhang, School of Transportation Science and Engineering, Beihang University, China
Lei Zhang, Beijing Institute of Technology, China


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