BIOGEME is a free software package for estimating discrete choice models, developed by Michel Bierlaire at EPFL. It is designed to estimate a wide range of random utility models, including logit, cross-nested, and generalized extreme value (GEV) models. The package uses advanced optimization algorithms to perform maximum likelihood estimation, allowing researchers to focus on model specification rather than estimation. BIOGEME supports various model types, including Mixed Logit, Logit Kernel, and Nested Logit models, and allows for the estimation of parameters with constraints. The software is available as open-source and is compatible with both Linux and Windows platforms. It includes tools for model specification, data processing, and simulation. The package also provides detailed output, including parameter estimates, standard errors, and statistical tests. BIOGEME is continuously being developed to support more complex models and improve estimation efficiency. The software is widely used in transportation and economics research for analyzing discrete choice behavior.BIOGEME is a free software package for estimating discrete choice models, developed by Michel Bierlaire at EPFL. It is designed to estimate a wide range of random utility models, including logit, cross-nested, and generalized extreme value (GEV) models. The package uses advanced optimization algorithms to perform maximum likelihood estimation, allowing researchers to focus on model specification rather than estimation. BIOGEME supports various model types, including Mixed Logit, Logit Kernel, and Nested Logit models, and allows for the estimation of parameters with constraints. The software is available as open-source and is compatible with both Linux and Windows platforms. It includes tools for model specification, data processing, and simulation. The package also provides detailed output, including parameter estimates, standard errors, and statistical tests. BIOGEME is continuously being developed to support more complex models and improve estimation efficiency. The software is widely used in transportation and economics research for analyzing discrete choice behavior.