一种获得交叉口分流系数的新方法——极大熵估计法

AN ENTROPY MAXIMIZING ESTIMATION OF TURNING FLOWS FROM INFLOW—OUTFLOWS AT INTERSECTIONS

  • 摘要: 本文提出了一种根据交叉口的出入口流量来估计交叉口的分流系数的新方法.它是根据信息论的基本原理,在极大熵的意义下,将一个描述不完全问题转化为一个非线性规划问题,从而求出一个最接近真实分流系数的估计值.

     

    Abstract: The estimation method deseribed in this paper provides a means to calculate turning flows for intersections where inflows and outflows are known.The basic idea of the estimation method is that the turning flows should be compatible with inflows and outflows.Since the constraints on the inflow-outflows don't determine the turningflows uniquely the most probable solution which is defined as the solution with maximizing entropy is selected from the set of feasible solution.The estimation of turning flows can be transformed into a nonlinear programming problem by maximizing entropy contained in the solution.

     

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