New tendencies concerning the management of surface transport net-works require：-the monitoring and the evaluation of level of services indicators which are moreand more imposed by quality normalisation and transport policies，-the complex diagnosis and decision making to face the increasing of disturbances and unusual events in the transport operation，-the global and intermodal mobility management with the consideration of energyand pollution impact(sustainable mobility)．This paper aims at presenting the CLAIRE-SITI，an intelligent intermodal super-visor system,which tries to give an answer to mentioned above requirements，being able to manage simultaneously and in real-time the operation of multiplesurface networks(road，freeways，public bus，tram，railways net work)giving adiagnosis and aids to decision making in disturbed conditions．Initially designed as a congestion supervisory system for road network, the CLAIRE system has been improved mainly in the framework of the integratedproject of the Toulouse city．Extra advanced functionalities have been designedand implemented in various international programs(disturbance monitoring andtreatment, user information，cooperative management，distributed event manager，case-based observatory and performance reporting)．The system is base on a generic transport network data model and reasons upon ageneralised concept of a supervised state that can associated with entities such asnodes，arcs，routes，transport unit(e．G．Vehicle)based on indicators of anytypes defined externally for which the space-time evolution is monitored by the system．The new CLAIRE-SITI system is currently implemented in operational context inToulouse and in Brussels near the STIB multimodal public transport operator(bus，metro and tram)and also in Paris at the INRETS research Institute in a laboratory environment dealing with both real and simulated data．A collaborationprogram is on going in the US to test CLAIRE in Los Angeles and Houston in aframework of an integrated project using advanced tools such as Real time control．Estimation and prediction module and CLAIRE to deal with incident andnon-recurring events．