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Inclement weather has been shown to increase congestion, justifying the need for weather-responsive traffic control. From one side, all existing weather-responsive controllers currently operate on freeways or limited road segments. From the other side, existing controllers operating on networks do not take into consideration the weather effect on the network fundamental diagram (NFD). This paper describes the development of a macroscopic weather-tuned perimeter controller. First, an NFD-based proportionalintegral perimeter controller (PC) is implemented in INTEGRATION, tuned using clear weather data and then tested for clear and inclement weather conditions. In order to respond to weather changes, new sets of control parameters were tuned for each weather and given to the controller. This weather-tuned perimeter controller (WTPC) is compared to the regular PC. Simulation results show that the WTPC reduces congestion inside the protected sub-network better than PC. Also, it improves the performance of the full network (inside and outside the protected sub-network) in terms of average speed and total delay. Compared to the non-perimeter control case, WTPC increases the average speed of the entire network by 28.61% for rain and 42.64% for snow conditions. Total delay is decreased by 33.26% and 42.02% for rain and snow,

Weather-Tuned Network Perimeter Control - A Network Fundamental Diagram Feedback Controller Approach