Method Of Test Sequence Generation And Optimization In Intelligent-Vehicle Infrastructure Cooperative System Simulation

Intelligent vehicle infrastructure cooperative system (I-VICS) is a large-scale distributed real-time system. It is related to multi-factor, multi-hierarchy and complex relationship. With the researches on formulating the structure of system, manufacturing vehicle/infrastructure components and analyzing data of system, it proves that both testing and evaluation are very necessary and essential. Furthermore, testing and evaluation focus on the key characteristics of system architecture, system functionality and system performance.According to the analysis of the functional requirement in I-VICS, typical application scenarios which contain multiple intersections, multiple sections and multiple vehicles have been constructed. Then, functional characteristics could be listed by analyzing the typical application scenarios with the method of Fault Tree Analysis (FTA). Thus, the test cases based on the functional characteristics of system have been established. The test sequences of I-VICS in this paper have been generated by a modeling analysis on the method of Labeled-ports Time Input/output Automata (Lp-TIOA) and the tool of UPPAALOptimizing the sequences which are generated by the Lp-TIOA modeling of I-VICS simulation with the method of firefly algorithm (FA) was proposed in this paper. Meanwhile, it compares with the test sequence optimization based on genetic algorithm. The result shows that test sequence optimization is very fruitful in reducing test redundancy based on the firefly algorithm as well as that firefly algorithm is faster and. more effective to reduce test redundancy than genetic algorithm.In this paper, according to analyze the construction of I-VICS simulation platform based on HLA, the federation of typical application scenario manager was proposed as an example, which shows how test sequence has been generated with test case library based on Lp-TIOA and optimized based on FA, then, it demonstrates the way of test sequence being injected into I-VICS simulation as well. Test process based on I-VICS simulation has been comprehensively displayed. The results of tracking analysis demonstrate the feasibility of test sequence generation and optimization method which has been proposed in this paper.