Performance Modeling of Intelligent Car Parking Systems
The performance analysis of the car parking process in a parking lot with various levels of assistance is considered in the paper. The input of the model is the description of the parking lot and a Markovian description for the driver behavior, the set of computable performance measures contains the average time necessary for the user to reach the desired destination, the amount of cars moving in the parking lot at the same time (thus, the environmental strain), etc. To overcome the state space expansion, that makes the direct analysis of the model computationally infeasible, we apply a mean field limit based approximation whose accuracy is investigated with discrete event simulation.
KeywordsDiscrete Event Simulation Smart City Search Phase State Transition Probability Discrete Time Markov Chain
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