Roadside Unit (RSU) planning and scheduling is necessary in order to ensure that future Intelligent Transportation Systems receive the best possible wireless coverage given many different factors. On top of prior planning and scheduling, RSU networks must be capable of adapting to rapidly changing environments due to unexpected events, such as vehicle collisions. In this paper, we develop a novel RSU coverage adjustment algorithm that will utilize the RSU requiring the least amount of transmission power to cover an event, while reducing the coverage of other RSUs to keep costs within the scheduled amortized budget. We find that for the small-scale setting of a few Lower Manhattan neighborhoods, the system is capable of dynamically adjusting to cover events in varying locations, while remaining within the budget.