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Estimating route choice models using low frequency GPS data.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

GPS data are increasingly available to be used in transportation

planning. Route choice models are estimated to address the behavior of

individuals choosing a route in a given network. When data is collected

with low frequency, it is unknown which path was traversed between

the GPS data points. Furthermore, GPS data has measurements error.

In this thesis we design an algorithm to consistently estimate a given

route choice model in the presence of sparse GPS data and measurement


We present an extension on a new method presented by Kalström

et al. (2011) to estimate a route choice model. This method focuses

on a given simple way to estimate the true parameter of a model. For

this purpose the indirect inference method is employed as a structured

procedure. In our context, a simple multinomial logit model is used as

the auxiliary model with the simulated data sets and in a structured

way returns the estimated parameter.

This version of discrete choice model is simple and fast which qualifies

it as an appropriate auxiliary model. We estimate a model with

random link costs which allows for a natural correlation structure across

paths and is also useful for simulating paths in order to make choice


In this study Monte Carlo evidence is provided to show the feasibility

and accuracy of the proposed algorithm using a real world network

from Borlänge, Sweden.

The main conclusion is that indirect inference is an exciting option

in the tool box for route choice estimation which can be used for estimating

route choice models using low frequency GPS sampling data.

Place, publisher, year, edition, pages
2011. , 67 p.
TSC-MT, 11-024
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-41546OAI: diva2:444553
Available from: 2011-09-29 Created: 2011-09-29

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