[02381] Dynamic parking pricing for smart urban transportation system
Session Time & Room : 3E (Aug.23, 17:40-19:20) @D502
Type : Contributed Talk
Abstract : Traffic jam is one of the critical challenges of an urban city. Researchers have reported that search for a parking space significantly contributes to this problem. By having a dynamic pricing depending on the demand, this challenge can partially be addressed by filtering customers to move to other non-demanding parking spaces or look for cost reasonable options. Furthermore, parking places will compete to maximize their profit. Hence, a game theoretic or hierarchical decision making model can best describe the scenario. Bounded by the allowed maximum parking pricing, perhaps set by the city administration, and the minimum price to stay in business, this paper models a dynamic parking pricing as a price-wise continuous multilevel decision making problem.
