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. To overcome the state space expansion, that makes the direct analysis of the model computationally infeasible, we apply a mean field limit based approximation. The accuracy of this approximation is also investigated with discrete event simulation