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FLOW FLOW is a framework. Developed by Mobile Sensing Lab Made in UC Berkeley Explore A deep reinforcement learning framework for mixed autonomy traffic Developed by UC Berkeley Ready to get started? Get Started Our Story Our Story Story Behind Flow Flow is created by and actively developed by members of the Mobile Sensing Lab at UC Berkeley (PI, Professor Bayen). Flow is a traffic control benchmarking framework. It provides a suite of traffic control scenarios (benchmarks), tools for designing custom traffic scenarios, and integration with deep reinforcement learning and traffic microsimulation libraries. Why Flow? Traffic systems can often be modeled by complex (nonlinear and coupled) dynamical systems for which classical analysis tools struggle to provide the understanding sought by transportation agencies, planners, and control engineers, mostly because of difficulty to provide analytical results on these. Deep reinforcement learning (deep-RL)...
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