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A few recent studies have shown the benefits of optimizing time-of-day break points at a coordinated actuated traffic signal control system. Even though these studies considered transition costs between break points in the performance evaluations, they did not explicitly consider transition costs during the optimization. Obviously this is because the microscopic simulation run time to explicitly account for such transition costs during the optimization is quite expensive. This study presents an enhanced procedure for determining time-of-day break points for coordinated actuated traffic signal systems with explicit consideration of transition costs using a genetic algorithm. The enhanced procedure was implemented using a hypothetical network consisting of four signalized intersections and the results indicated that the enhanced procedure outperformed the previously developed greedy search-based method. A quick investigation of the transition costs indicated that the impacts of transitions were negligible for those break points optimized by the proposed approach.

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