The Second Transportation Student Research Symposium
Abstract Detail

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A new lane-changing model that integrates normal, courtesy and
forced gap acceptance decisions of the driver in a single
framework is proposed in the presentation. The model takes
into account the anticipation of future traffic conditions in
the current decision making process of the driver and
explicitly considers the heterogeneity of driver population.
The effects of previous decisions of the driver are captured
by introducing state-dependency in the model. The parameters of
the model are estimated with detailed vehicle trajectory data.
The goodness-of-fit statistics indicate significant improvement
over simpler gap acceptance models. The proposed model will be
implemented in the microscopic traffic simulation tool MITSIMLab.
The enhanced simulation tool will enable researchers and
practitioners to evaluate congested and incident affected
scenarios more consistently.
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Last updated January 9, 2009
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