The main purpose of this study is to develop a tool capable of estimating incident durations in real-time.  The tool will allow VDOT to estimate the chances of a secondary incident based on the characteristics of the primary incident, evaluate associated delays, and aid in identifying incident management strategies to mitigate the impacts of both primary and secondary incidents.   Using freeway incident and roadway inventory data from Hampton Roads, the study will apply modeling and simulation techniques to develop primary incident duration and secondary incident occurrence/duration prediction models that can be used dynamically in the Hampton Roads Smart Traffic Center. The scope of the study will be limited to incidents in the Hampton Roads area. Disaggregate analysis for freeways that pass through various localities will be performed. The incident duration and delay prediction models developed in this study will be appropriate for use in the Hampton Roads smart traffic center.