We revise the extraction of dynamic origin-destination (OD) matrices from the ATV data in public transportation systems. We extend the previous approaches by arguing that passengers plan their trips with multiple goals in mind. We argue a need for determining the multi-goal transfer trips and propose a method for recognizing such trips and including their elements in the OD matrix. We deploy the utility theory to describe the uncertainty relevant to the unobservable parameters which can impact the user's choices.
Estimating dynamic origin-destination matrices from the ATV data
01.10.2013
710366 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Estimating origin-destination matrices from incomplete data
Online Contents | 1994
|Estimating origin-destination matrices from roadside survey data
Elsevier | 1986
|A maximum likelihood model for estimating origin-destination matrices
Elsevier | 1986
|Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts
Online Contents | 1993
|Origin-destination matrices from registration-plate matching
Online Contents | 1993
|