The smart city is one of the most appropriate solutions to the challenges posed by uncontrolled urbanization, rapid population growth, waste of energy re-sources, and environmental pollution. As a result, many cities have undergone real transformation in the economic, civic, governmental, housing, environmental and especially transport domain. However, given the difficulties of representing the transport domain, several ontologies have been designed to overcome this difficulty. These ontologies enable requirements planning and decision making. Despite this fact, many of the proposed ontologies are difficult to reuse for various reasons such as their obsolescence or their specificity to a given city. Thus, in this study, we propose methods using criteria to determine the relevant ontologies among several others. Simulations confirmed that one these methods is very efficient.