【摘 要】
：
考虑到新进入网络的交通需求不了解路径的完备信息,可能随机地选择出行路径,提出一个改进的网络交通流演化模型,并分析了该模型及其不动点的一些特性.该模型不动点不是传统意
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考虑到新进入网络的交通需求不了解路径的完备信息,可能随机地选择出行路径,提出一个改进的网络交通流演化模型,并分析了该模型及其不动点的一些特性.该模型不动点不是传统意义下的用户均衡态或部分用户均衡态,它能更好地反映现实中交通流分配结果.格子网络上完成的数值模拟结果表明,模型可用来近似刻画实现用户均衡态的过程,模型中初始可行路径流量可以为零,交通流能够收敛到不动点,但可能存在多个不动点.
Considering that the traffic demand of newly entering network does not know the complete information of the route, it is possible to choose the travel path randomly and propose an improved evolution model of network traffic flow, and analyze some properties of the model and its fixed points. Point is not the user equilibrium or partial user equilibrium in the traditional sense, it can better reflect the real-time traffic flow distribution results.Numerical simulation results on lattice network show that the model can be used to approximate the process of realizing the user equilibrium, The initial feasible traffic in the model can be zero, and the traffic flow can converge to the fixed point, but there may be multiple fixed points.
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