Modeling the Link Volume Counts as a Function of Temporally Dependent OD-Flows

Abstract

This paper proposes a model for parameterizing time dependent origin-destination (OD) matrices. This model builds the basis for the exploitation of high frequent count data for the estimation of OD-matrices. Such data sets become increasingly available due to recent advances in automatic pedestrian counting technology paired with a business interest to analyse the number as well as the fluctuation of the number of customers for shopping centres or passengers for junctions of mass transport. OD-matrices are needed for simulation, monitoring of the demand and (depending on the location of the counting sensors) for the evaluation of the attractivity of parts of the building. \ The model contains a full specification of the data set including a stochastic model for the measurement errors which directly suggests a method for the estimation of the parameters.