In weaving segments, traffic merges, diverges, and weaves in a limited space. These traffic maneuvers might result in high crash hazards. In order to improve the safety of congested expressway weaving segments, various Active Traffic Management (ATM) strategies in microsimulation were tested. Crash odds and the Surrogate Safety Assessment Model (SSAM) were used to evaluate the impact of ATM strategies on traffic safety. The crash odds were calculated based on the real-time safety analysis model for weaving segments. The strategies included ramp metering (RM), variable speed limit (VSL), and an integrated RM and VSL (RM-VSL). Overall, the results showed that the ATM strategies were able to improve the safety of the studied weaving segment. The modified ALINEA RM algorithms, which took both lane occupancy and safety into consideration, outperformed the traditional ALINEA algorithm. The results showed that both the location and the speed value of VSL were important. The VSL installed at the upstream of the weaving segment better enhanced the safety than the VSL set at the downstream, and lower upstream VSL would better improve the safety of the whole weaving segment. In the consolidated RM-VSL strategy, the modified ALINEA RM was adjusted according to the queue length to prevent long queues on ramps. The results proven that the consolidated RM-VSL strategy reduced both conflict count and crash odds.