Route Optimization of Mobile Medical Unit with Reinforcement Learning

In this paper, we propose a solution for optimizing the routes of Mobile Medical Units (MMUs) in domain vehicle routing and scheduling. The generic objective is to optimize distance traveled by MMUs as well associated cost. These are located at central depot. idea provide improved healthcare rural people India. obtained two stages: preparing mathematical model with most suitable parameters, then second phase, implementing an algorithm obtain optimized solution. focused on multiple including number vans, specialists, total distance, travel time, others. further supported Reinforcement Learning, explaining best possible route traveled.