Various uncertainties have made the incorporation of travel behavioural reactions challenging in travel demand models (TDMs) due to the emergence of connected and automated vehicles (CAVs). This research has proposed a framework (from the state-of-the-art and practice, and the 20 to 30 years forecast horizon) to incorporate CAVs in the traditional four-step trip based TDM. The proposed method suggests integrating adjustments of different travel behavioural independent variables such as vehicle ownership (VO) and single occupancy (SO) based on the need for transportation planning agencies. Vehicle miles travel (VMT) may decrease from thirty percent to forty-one percent considering different combination of VO and SO according to case studies in this research. Analysing the impact of CAVs on travel patterns will assist the long-range transportation planning process and to improve transportation investment plans.