Origin-destination matrix estimation with a conditionally binomial model

被引：1

作者：

Kuusela, Pirkko ^{[1
]}

Norros, Ilkka ^{[2
]}

Kilpi, Jorma ^{[1
]}

Raty, Tomi ^{[1
]}

机构：

[1] VTT Ltd, Tech Res Ctr Finland, POB 1000, Espoo 02044, Finland

[2] Univ Helsinki, Dept Math & Stat, POB 64, FI-00014 Helsinki, Finland

来源：

EUROPEAN TRANSPORT RESEARCH REVIEW | 2020年 / 12卷 / 01期

基金：

芬兰科学院;

关键词：

Vehicular traffic; Origin-destination flow; Traffic matrix; Doubly stochastic; Method of moments; Optimisation; OBSERVABILITY PROBLEM; NETWORK TOMOGRAPHY; RANDOM-VARIABLES; TRAVEL DEMAND; IDENTIFIABILITY; DISTRIBUTIONS; INFERENCE;

D O I：

10.1186/s12544-020-00433-7

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

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.

引用

页数：12

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