Monte Carlo Stochastic Modeling Method is adopted to design vehicle turning behavior module, and a simulation model integrating link traffic flow and od matrix estimation is established.
采用蒙特卡罗法设计车辆转弯行为仿真模型，并提出了局域路网交通量与OD矩阵估计的集成仿真方法。
The algorithm is to minimize total travel time in the whole network by assigning traffic flow to links that have the lowest marginal link travel time at every time period.
该算法通过在每个时段把车流分配至边际行程时间最小的路段上，从而最小化交通系统内车辆的总运行时间。
This paper brings up a new method that can predict the transfer traffic volume of new highways based on the link flow of an existing road network.
提出一种基于现状路网路段交通量来预测新建公路转移交通量的预测方法。
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