The research reported herein further develops the DYNASMART simulation program developed at the University of California, Irvine with PATH funding, in informal collaboration with a project funded by the Federal Highway administration at the University of Texas at Austin. The DYNASMART program resulted from the doctoral dissertation of the principal investigator of this PATH project at UT Austin, and has now been developed to include full-scale traffic signal control as well as freeway ramp control. The model is capable of simulating large urban networks under various ATMS and ATIS strategies, and include carefully designed modules for driver responses to information and for capturing the dynamics of the network paths. The model has been implemented on work station as well as mainframe computational platforms. This research has developed a User-friendly front-end for the editing large input files as well as for run-time displays of traffic conditions. The research also included the simulation study of a network in Orange County, California, where the benefits from candidate ATIS and ATMS strategies were evaluated. The DYNASMART model has evolved into a very flexible tool that can be applied to evaluate information and control strategies in realistic urban networks in an efficient manner.