Gap-acceptance behavior at unsignalized intersections has been extensively studied in the field of traffic theory and engineering using various methods. The acceptance or rejection of a certain gap is considered the result of a driver’s decision process, affected by subjective and imprecise estimates of a set of explanatory variables considered as input. Classical probabilistic models (e.g. Logit models) and fuzzy system theory have been proposed in the past in order to describe the gap-acceptance behavior. On the basis of experimental data collected at a priority junction, this paper presents a comparative analysis made using the so-called ROC (Receiver Operating Characteristic) curve analysis. The statistical equivalence of results indicates that Fuzzy models can be considered an alternative to the use of Logit models.

Logit model versus fuzzy logic model for representing gap-acceptance behavior

ROSSI, RICCARDO;GASTALDI, MASSIMILIANO;MENEGUZZER, CLAUDIO
2011

Abstract

Gap-acceptance behavior at unsignalized intersections has been extensively studied in the field of traffic theory and engineering using various methods. The acceptance or rejection of a certain gap is considered the result of a driver’s decision process, affected by subjective and imprecise estimates of a set of explanatory variables considered as input. Classical probabilistic models (e.g. Logit models) and fuzzy system theory have been proposed in the past in order to describe the gap-acceptance behavior. On the basis of experimental data collected at a priority junction, this paper presents a comparative analysis made using the so-called ROC (Receiver Operating Characteristic) curve analysis. The statistical equivalence of results indicates that Fuzzy models can be considered an alternative to the use of Logit models.
WSC16-The 16th Online World Conference on Soft Computing in Industrial Applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2479701
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