• DocumentCode
    154487
  • Title

    Test sequence generation and optimization method based on Cooperative Vehicle Infrastructure System simulation

  • Author

    Baigen Cai ; Sen Yang ; Wei ShangGuan ; Jian Wang

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    The Cooperative Vehicle Infrastructure System (CVIS) is a complex real-time system. This paper will discuss about the test sequence generation and optimization during Cooperative Vehicle Infrastructure System simulation. The demands and characteristics of this system will be analyzed, and then the function of the system characteristics and test conditions could be constituted by using fault tree algorithm. By dealing with these functions, timed automata model have been researched for the suitable of the CVIS simulation. According to the model, the system test is modeling and verification by using UPPAAL. The problem of automatic sequence generation in this paper has been solved in CVIS test to some extent. This paper also discuss the firefly algorithm with optimizing the test sequence that generated by timed automata model. And it shows that firefly algorithm is efficient in optimizing.
  • Keywords
    automata theory; fault trees; formal verification; groupware; optimisation; traffic engineering computing; CVIS; UPPAAL; automatic sequence generation; cooperative vehicle infrastructure system; fault tree algorithm; firefly algorithm; optimization method; test sequence generation; timed automata model; Automata; Brightness; Collision avoidance; Fault trees; Real-time systems; Unified modeling language; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957668
  • Filename
    6957668