|Title||Optimal Scheduling for Shared Parking System Considering Stochastic Arrival Times|
|School||Department of Transportation and Logistics Management College of Management National Chiao Tung University|
This study proposes a parking-space-flow network modeling approach to deal with the optimal scheduling problem for shared parking system considering stochastic arrival times. In this approach, uncertain vehicle arrival times are represented by discrete probability distributions. The objective is to maximize the expected profit for the shared parking system operator. The proposed model is formulated as an integer multi-commodity network flow problem and solved by optimization solver. This research aims at providing a schedule for the shared parking system operator to assign advanced parking requests to parking spaces. Computational experiments are conducted using test instances generated from a real-world shared parking example.