Parking in large urban areas is becoming an issue of great concern with many implications (environmental, financial, societal, etc.). In our research we investigate automated dynamic pricing (adp) as a mechanism for regulating parking place allocation. Adp means that the price for staying in a parking facility for a certain amount of time will fluctuate depending on the day and time of the week. In this paper, such a scenario is explored using multi-agent based simulation. Two kinds of agents are considered: drivers and parking facilities. Experiments are conducted in a real city environment in order to observe the impact of dynamic pricing, competition and demand increase. Results show that dynamic pricing application leads to better results (in terms of profit margin) for the parking facilities while it decreases drivers’ utility.
|Title of host publication||Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings|
|Editors||Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale|
|Number of pages||12|
|Publication status||Published - 3 Jun 2017|
Vrancken, T., Tenbrock, D., Reick, S., Bozhinovski, D., Weiss, G., & Spanakis, G. (2017). Multi-Agent Parking Place Simulation. In Y. Demazeau, P. Davidsson, J. Bajo, & Z. Vale (Eds.), Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings (pp. 272-283). Springer. https://doi.org/10.1007/978-3-319-59930-4_22