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Consistently estimating route choice models using indirect inference based on emprical observation 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]

In the thesis, a proposed route choice model is tested on the empirical observation data.

The model gives link specific errors to the links in the network, which allows natural

correlation structure among paths. Indirect inference method is used to consistently

estimate the route choice model, and a logit model is chosen to be the auxiliary model.

The observation data with multiple OD pairs was collected in the Borlänge, a city located

in the middle part of Sweden. Two main experiments are carried out, one with only one

attribute, length to be specific in the route choice model and the other with two attributes,

namely length and speed bump dummy. The final estimates of parameters have positive

signs as anticipated and the magnitudes are reasonable. In addition, judging from the

estimated binding functions, parameters in the cost function have negative effect on

utility in the logti model and the parameter in the logit model are more apparently

affected by its indirectly inferred parameter in the route choice model than the others do.

Some other trials of the model are also carried out, but the estimates are not satisfying.

This may be due to lack of attributes in the route choice model and further suggestion on

better defined model is given out. A Monte Carlo experiment is also carried out to test

the efficiency of model with unfixed scale parameter to the random term in the route

choice model.

Place, publisher, year, edition, pages
TSC-MT, 11-016
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-43389OAI: diva2:448200
Available from: 2011-10-14 Created: 2011-10-14

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