human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "performance evaluation of road traffic control using a fuzzy cellular model"
  Abstract: In this paper a method is proposed for performance evaluation of road traffic control strategies. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control. Performance measures are computed using a fuzzy cellular traffic model, formulated as a hybrid system combining cellular automata and fuzzy calculus. Experimental results show that the introduced method allows the performance to be evaluated using imprecise traffic data. The fuzzy definitions of performance measures are convenient for uncertainty determination in traffic control decisions.

Connected through hyperedge HE-1 (induced by source paper "a traffic model based on fuzzy cellular automata"):
  with members:
    - "selective data collection in vehicular networks for traffic control applications"
    - "a real time vehicle detection algorithm for vision based sensors"
    - "fuzzy cellular model for on line traffic simulation"

Connected through hyperedge HE-2 (induced by source paper "uncertainty dependent data collection in vehicular sensor networks"):
  with members:
    - "selective data collection in vehicular networks for traffic control applications"
    - "fuzzy cellular model of signal controlled traffic stream"
    - "fuzzy cellular model for on line traffic simulation"

Connected through hyperedge HE-3 (induced by source paper "selective data collection in vehicular networks for traffic control applications"):
  with members:
    - "model based event detection in wireless sensor networks"
    - "fuzzy cellular model for on line traffic simulation"

Connected through hyperedge HE-4 (induced by source paper "fuzzy cellular model of signal controlled traffic stream"):
  with members:
    - "a real time vehicle detection algorithm for vision based sensors"
    - "fuzzy cellular model for on line traffic simulation"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)