An Application-Oriented Design Method for Networked Driving Simulation

Autonomous and cooperative vehicle systems represent a key priority in the automotive realm. Networked driving simulation can be utilized as a safe, cost-effective experimental replica of real traffic environments in order to support and accelerate the development of such systems. In networked driving simulation, different independent systems collaborate to achieve a common task: multi-driver traffic scenario simulation. Yet distinct system complexity levels are necessary to fulfill the requirements of various application scenarios, such as development of vehicle systems, analysis of driving behavior, and training of drivers. With myriad alternatives of available systems and components, developers of networked driving simulation are typically confronted with high design complexity. There are no systematic approaches to date for the design of networked driving simulation in accordance with the specific requirements of the concerned application scenarios. This paper presents a novel design method for networked driving simulation. The method consists mainly of a procedure model that is accompanied by a configuration software. The procedure model includes the necessary phases for the systematic design of application-oriented platforms for networked driving simulation. The configuration software embeds supportive decision-making processes that enable developers to apply the design method and easily create different system models. The design method was validated by generating system models and developing platforms of networked driving simulation for three different application scenarios.

[1]  Hermann Winner,et al.  Handbook of Driver Assistance Systems: Basic Information, Components and Systems for Active Safety and Comfort , 2015 .

[2]  Hermann Winner,et al.  Autonomous Driving: Technical, Legal and Social Aspects , 2016 .

[3]  Crispin Hales,et al.  Engineering design: a systematic approach , 1989 .

[4]  Ursula Frank,et al.  Specification technique for the description of self-optimizing mechatronic systems , 2009 .

[5]  Rod Stephens,et al.  Beginning Database Design Solutions , 2008 .

[6]  Hans-Jürgen Negele Anwendungsgerechte Konzipierung von Fahrsimulatoren für die Fahrzeugentwicklung , 2007 .

[7]  Christoph Meinel,et al.  Internetworking - Technological Foundations and Applications , 2013, X.media.publishing.

[8]  John D. Lee,et al.  Handbook of Driving Simulation for Engineering, Medicine and Psychology: An Overview , 2011 .

[9]  P. Planing Innovation Acceptance: The Case of Advanced Driver-Assistance Systems , 2014 .

[10]  Jürgen Gausemeier,et al.  Technology push-based product planning – future markets for emerging technologies , 2013 .

[11]  Cihan H. Dagli,et al.  Model Based Systems Engineering for System of Systems Using Agent-based Modeling , 2013, CSER.

[12]  M.A. Johnson From engineering to system engineering to system of systems engineering , 2008, 2008 World Automation Congress.

[13]  Jonathan P. How,et al.  Reinforcement learning with multi-fidelity simulators , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[14]  Brian J. Sauser,et al.  System of Systems Collaborative Formation , 2010, IEEE Systems Journal.

[15]  Tomas Potuzak Comparison of Road Traffic Network Division Based on Microscopic and Macroscopic Simulation , 2011, 2011 UkSim 13th International Conference on Computer Modelling and Simulation.

[16]  Jürgen Gausemeier,et al.  Design Methodology for Intelligent Technical Systems, Develop Intelligent Technical Systems of the Future , 2014, Design Methodology for Intelligent Technical Systems.

[17]  Y. N. Doganata,et al.  Analysis of communication requirements for intelligent transportation systems: methodology and examples , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[18]  Hugues Bersini,et al.  UML for ABM , 2012, J. Artif. Soc. Soc. Simul..

[19]  Bernhard Rumpe Modeling with UML: Language, Concepts, Methods , 2016 .

[20]  Klaus Wehrle,et al.  Modeling and Tools for Network Simulation , 2010, Modeling and Tools for Network Simulation.

[21]  Andres Sousa-Poza,et al.  System of systems engineering , 2003, IEEE Engineering Management Review.

[22]  Hermann Winner,et al.  Handbook of Driver Assistance Systems , 2014 .

[23]  J. Barceló Fundamentals of traffic simulation , 2010 .

[24]  Kareem Abdelgawad,et al.  Advanced Traffic Simulation Framework for Networked Driving Simulators , 2016 .

[25]  Mohammad Jamshidi,et al.  System of systems engineering : innovations for the 21st century , 2008 .

[26]  Christophe Lang,et al.  Agent-Based Spatial Simulation with NetLogo , 2015 .

[27]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[28]  Jian Chen,et al.  Research on Adaptive State Update Strategy of Distributed Interactive Simulation , 2011, 2011 Third International Conference on Multimedia Information Networking and Security.

[29]  Yurdaer N. Dogaiiata,et al.  Analysis of Communication Requirements for Intelligent Transportation Systems: Methodology and Examples , 1995 .

[30]  Xin Chen,et al.  High level architecture evolved modular federation object model , 2009, ArXiv.

[31]  Bryan E. Porter,et al.  Handbook of Traffic Psychology , 2011 .

[32]  Nader F. Mir,et al.  Computer and Communication Networks , 2006 .

[33]  Kareem Abdelgawad,et al.  Interest Manager for Networked Driving Simulation Based on High-Level Architecture , 2017 .

[34]  R. Brent Applied Cost-benefit Analysis , 1996 .

[35]  Kareem Abdelgawad,et al.  Networked Driving Simulation: Applications, State of the Art, and Design Considerations , 2017 .

[36]  Ansgar Trächtler,et al.  Safe trajectory planning for autonomous intersection management by using vehicle to infrastructure communication , 2015, EURASIP J. Wirel. Commun. Netw..

[37]  Pietro Carlo Cacciabue,et al.  Guide to Applying Human Factors Methods , 2004, Springer London.

[38]  Don Anderson FireWire System Architecture: IEEE 1394A , 1998 .

[39]  Guy H. Walker,et al.  Human Factors in Automotive Engineering and Technology , 2017 .