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Abstract Most freeway accidents do not cause complete traffic breakdowns but create bottlenecks that significantly compromise traffic safety and efficiency, making safe and efficient vehicle passage essential. This paper proposes a proactive emergency traffic control architecture based on deep reinforcement learning to optimize traffic flow in accident-induced bottlenecks.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
