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Urban Traffic Network Passenger Flow Intelligent Distribution Method Based on Balanced Distribution Model

机译:基于平衡分配模型的城市交通网络客流智能分配方法

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In order to improve the intelligent distribution ability of passenger flow in urban traffic network, an intelligent distribution method of passenger flow in urban traffic network based on equilibrium allocation model is proposed, and the characteristics of passenger flow in urban traffic network are analyzed. The three-dimensional spatial distribution grid model of urban traffic network passenger flow intelligent allocation is constructed, the visual characteristics of urban traffic network passenger flow intelligent allocation are analyzed under visual navigation, the particle swarm optimization algorithm is used to optimize the spatial distribution of urban traffic network passenger flow intelligent allocation, the spatial grid model of urban traffic network passenger flow intelligent allocation is established, and the adaptive parameter optimization and information fusion method are combined. The intelligent allocation of passenger flow in urban traffic network is designed, and the optimal parameters of intelligent allocation of passenger flow in urban traffic network are solved by particle swarm optimization algorithm, so as to avoid the intelligent allocation of passenger flow in urban traffic network from falling into the local optimal solution. The simulation results show that this method has good adaptability to the intelligent distribution of passenger flow in urban traffic network, and improves the ability of intelligent allocation of passenger flow in urban traffic network.
机译:为了提高城市交通网络中客流的智能分配能力,提出了一种基于均衡分配模型的城市交通网络中客流的智能分配方法,并分析了城市交通网络中客流的特征。建立了城市交通网络客流智能分配的三维空间分布网格模型,在视觉导航下分析了城市交通网络客流智能分配的视觉特征,采用粒子群算法对城市空间分配进行了优化。建立交通网络客流智能分配,建立城市交通网络客流智能分配的空间网格模型,并结合自适应参数优化和信息融合方法。设计了城市交通网络中客流的智能分配,并通过粒子群优化算法求解了城市交通网络中客流的智能分配的最优参数,从而避免了城市交通网络中客流的智能分配。陷入局部最优解。仿真结果表明,该方法对城市交通网络中客流的智能分配具有良好的适应性,提高了城市交通网络中客流的智能分配能力。

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