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The paper presents a method for calculating fuzzy time interval in the hybrid Petri net model of train operation system. Owing to the system hybrid attributes, hybrid Petri net is used to model the train operation system. In order to quantitatively analyze various uncertainty factors of the system, the theory of probability-possibility transformations is introduced to calculate fuzzy time interval...
Avoiding conflicting between large numbers of trains is a key problem to train scheduling services in busy rail network. Verifying train group operation conflict within and between multi-station satisfying time constraints is the basis of the construction and coordination on train schedules and plans. While, for many rail networks, the conflicts of proposed train times, lines, and platforms are checked...
Predictive analysis about China railway parcel is an urgent task for railway intelligent transportation system (RITS). This paper proposes a novel parcel traffic volume predictive method named FCP (fuzzy cell prediction), which provides an effective means to build strategic models and enhances the predictive ability of interactive and hierarchical analysis. The key components of FCP are traffic data...
In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO) to enhance the convergent performance. A convergent gene is introduced in the velocity equation of the FPSO, thus it turns to CFPSO. And it differs from convergent particle swarm optimization (CPSO) in that it employs the fuzzy membership function in the velocity equation. The CFPSO performance...
A novel approach to construct accurate and interpretable fuzzy classification system based on hybrid co-evolution algorithm is proposed in this paper. First, the necessary conditions of interpretability are analyzed. Second, the search ability of Michigan-style and Pittsburgh-style genetic algorithm is examined respectively for designing fuzzy classification system. It is clearly demonstrated that...
Fuzzy particle swarm optimization (FPSO) has shown its great searching ability and high computing precision, while it can not assure the algorithm is convergent. In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO), employing the convergent gene. It differs from normal FPSO in that a convergent gene is introduced in the velocity equation. And it...
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