Limited quantitative research exists on the effects of individual traffic management on four liveability aspects: travel time, air quality, noise, and accident risk. The aim of this research is to get an insight in how these effects on liveability can be improved using ITM, given road users willingness to comply with given advice. Literature research is used to provide an insight in factors influencing compliance. Furthermore, an optimisation model in Excel comprising LTM, individual route guidance, and effect estimation is built. The model is tested across three cases and multiple scenarios varying in compliance rate, objective, and distribution of unguided traffic. The achievability of effects is complex: depending on network haracteristics and compliance assumed different impacts can be found. In general, the best results are obtained with advice aiming at a more balanced distribution of traffic. However, the weight attached to local residents is of strong influence on the optimal distribution. An important limitation of this research is that the optimisation model only considers effects in upcoming time step, causing extreme advice with negative effects on liveability. For future research it is therefore important to consider the effects in multiple time steps ahead.