This study evaluated the impacts of ITS information strategies under incident conditions in Interstate 4 (I-4) corridor of Orlando. The analysis was performed using DYNASMART-P software package. The ITS information strategies range from pre-trip information, en-route information, and variable message signs. Simulation covered one hour during the morning peak period. The impacts of ITS information strategies on mobility were evaluated by simulating the performance of various ITS information components (pre-trip information, en-route information, and variable message signs) under incident conditions for the I-4 corridor and comparing the results with the corresponding scenarios in the absence of these components. The traffic flow relations were calibrated against the flow measurements along freeway to determine model parameters. An effort was made to validate estimated traffic volumes against measured link counts. The archived I-4 data at the Center for Advanced Transportation Systems Simulation (CATSS) at the University of Central Florida was used for both calibration and validation. The analysis indicated that DYNASMART-P was able to adequately reproduce the observed morning peak hourly flows over suitably selected locations. Ten scenarios were designed to evaluate the benefits of ITS information strategies under incident conditions. The results indicated that these ITS traveler information technologies can result in great travel time saving. It was found that commuters who use traveler information via the pre-trip information or en-route information to switch their routes benefit significantly in terms of delay reduction when incidents occur. It was found that there exists an optimal value for the fraction users with information at which the network performs best. This optimal fraction may be different for different source of information. Also this may vary with different incidents. This study demonstrates how one can realistically simulate the network under various scenarios without actually conducting the high cost operational tests. DYNASMART-P can produce useful variables such as speeds, travel time, queue lengths, and stop time to better assess the impacts of ITS components. It can be applied in ITS equipped networks.