Shared Parking Random Conflict Modeling and Control
One of the main reasons for the urban parking problem in big cities is that the parking demand is large while the parking spaces are limited.Researchers believe that Shared Parking(SP)may help improve the utilization rate of parking Spaces and solve the problem of urban parking.The parking conflict between parking lot owners and public drivers was ignored in classical SP researches.To study the problem of conflict management between owners and public drivers in a SP lot,the Poisson difference distribution was used to illustrate the SP conflict,when both the number of vehicles returned in and moving out the SP lot are Poisson distribution.Based on the Poisson difference distribution of SP conflicts,a chance-constrained programming model for SP conflict management is constructed.The proposed model helps SP enterprises to maximize their benefits and optimizing the number of the reserved parking slots and the end time of shared parking.A Genetic artificial fish swarm algorithm is introduced to solve the optimization model.Finally,numerical examples are used to explore the influence of some important parameters(such as the owner's return rate,the exit rate of public drivers,the threshold of conflict and the total number of SP slots)on some essential issues of SP lot operation and management(such as the number of the reserved parking slots and the end time of shared parking),as well as the revenue and cost of SP enterprises.
urban transportationshared parkingchance-constrained programmingpark-ing conflictgenetic artificial fish swarm algorithm
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