Refined Path Planning for Emergency Rescue Vehicles on Congested Urban Arterial Roads via Reinforcement Learning Approach

<div>Evaluation parameters of different paths planned by PERDQN and SP under different traffic control schemes in case 2. (a) The arrival time and dissipation time of vehicle queue for different traffic control schemes. (b) Queue length of scheme 2 and scheme 4 at different traffic control points.</div>

Journal of Advanced Transportation

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Figure 7

Figure 7: Refined Path Planning for Emergency Rescue Vehicles on Congested Urban Arterial Roads via Reinforcement Learning Approach 