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Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing vehicles and infrastructure to work together to coordinate movement. The objective of this project is to advance the CARMASM ecosystem to enable further capabilities for CDA participants to interact with the road infrastructure, to enhance infrastructure performance, to improve network efficiency, and ultimately to reduce traffic congestion through transportation systems management and operations (TSMO) strategies on arterials. The focus of this concept of operations is TSMO Use Case 4 (UC4), or Dynamic Lane Assignment, which investigates active traffic management applied to traffic signal corridors. The proposed approach for TSMO UC4 has three main components: a signal and lane optimization (designed for roadside equipment [RSE]); a critical time step estimation (designed for RSE or CARMA PlatformSM); and a trajectory smoothing for cooperative automated driving system (C–ADS)-equipped vehicles (designed for CARMA Platform) with the available vehicles' real-time information. Researchers expect the proposed control framework to increase throughput and reduce energy consumption while ensuring safety at signalized intersections by simultaneously optimizing the signal and lane settings.