A doubly stochastic, conditionally binomial model is proposed to describe volumes of vehicular origin-destination flows in regular vehicular traffic, such as morning rush hours. The statistical properties of this model are motivated by the data obtained from inductive loop traffic counts. The model parameters can be expressed as rational functions of the first and second order moments of the observed link counts. Challenges arising from the inaccuracy of moment estimates are studied. A real origin-destination traffic problem of Tampere city is solved by optimisation methods and the accuracy of the solution is examined.

中文翻译：

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有条件二项式模型的原点-目的地矩阵估计

提出了一种双重随机的，有条件的二项式模型来描述正常车辆交通（例如早上高峰时间）中车辆起运目的地的流量。该模型的统计属性是由归纳环路流量计数获得的数据驱动的。模型参数可以表示为观察到的链接计数的一阶和二阶矩的有理函数。研究了力矩估计不准确所带来的挑战。通过优化方法解决了坦佩雷市真实的目的地交通问题，并检验了该方法的准确性。