Purpose The objective of this research is to provide an overview of emerging data collection
technologies and their impact on traffic management applications. Methods Several existing …

The study evaluates the added value generated by estimating dynamic demand matrices by
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …

Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

This paper proposes a dynamic origin-destination (OD) estimation method to extract
valuable point-to-point split-fraction information from automatic vehicle identification (AVI) …

Limited studies exist in the literature on demand related travel patterns, the analysis of which
requires a rich database of Origin Destination (OD) matrices with appropriate clustering …

An online calibration approach that jointly estimates demand and supply parameters of
dynamic traffic assignment (DTA) systems is presented and empirically validated through an …

A mathematical framework and a solution approach are presented for the simultaneous
calibration of the demand and supply parameters and inputs to microscopic traffic simulation …

Origin-Destination (OD) matrix is a tableau of travel demand distributed between different
zonal pairs. Essentially, OD matrix provides two types of information:(a) the individual cell …

Nowadays, new mobility information can be derived from advanced traffic surveillance
systems that collect updated traffic measurements, both in fixed locations and over specific …

To design a transportation sensor network, the decision maker needs to determine what
sensor investments should be made, as well as when, how, where, and with what …