Solving Combinatorial Auctions Using Stochastic Local Search
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The computation of market equilibria
ACM SIGACT News
A market-inspired approach to reservation-based urban road traffic management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
A multiagent approach to autonomous intersection management
Journal of Artificial Intelligence Research
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In this paper we combine two different economically inspired mechanisms, acting at intersection and at network level, respectively, to accommodate driver preferences in reservation-based urban traffic management. At intersection level, intersection manager agents assign space-time chunks through combinatorial auctions, while at network level a pricing scheme, based on general market equilibrium, accounts for an efficient use of network resources. Our experiments show that this combined approach on the one hand allows drivers to effectively improve their travel times if they are willing to pay more money for their trip, while on the other hand the negative impact on social welfare (average travel times) is unnoticeable.