The purpose of the present study, is proposing a more flexible model comparing with linear regression model, to estimate the rate of household trip production and its prediction in the�project horizon. For this purpose, a combined model composed of poission distribution and the possible distribution of A. in the form of negative binominal distribution are used. Then the proposed model was conducted on a real case (Karaj City). Then the result of model processinghas been compared to .the real observation in the peak hours in Karaj city.

Keywords: Trip household� production, Linear regression distribution, Peak �hour, Polssion distribution, Negative binomial distribution, Socio, Economic characteristics, Auto ownership, Household size, Household income