This paper attempts to model stochastic choice behaviour in simultaneous trip route and departure time decision-making on road traffic networks, taking into account information quality and individual differences in information interpretation among the population of travellers. Different than the traditional stochastic model, the proposed choice behavior model assumes the road users to simultaneously select the trip routes and departure times that have the largest probabilities of incurring the least generalised travel costs. This model is also applicable in both static and dynamic settings. The preliminary numerical experiments show that the proposed individual-oriented stochastic choice model can reflect the overreaction phenomena reported in studies of traffic information provision and the impacts of the types of traffic information on the effectiveness of information provision. This model opens a potential way to analyze network equilibrium behaviour taking into account individual differences across the road user population as well as information quality.