Multi-Agent Parking Place Simulation

Thomas Vrancken, Daniel Tenbrock, Sebastian Reick, Dejan Bozhinovski, Gerhard Weiss, Gerasimos Spanakis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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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.
Original languageEnglish
Title of host publicationAdvances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection
EditorsYves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Number of pages12
ISBN (Print)978-3-319-59930-4
Publication statusPublished - 3 Jun 2017
Event15th International Conference, PAAMS 2017 - Porto, Portugal
Duration: 21 Jun 201723 Jun 2017

Publication series

SeriesLecture Notes in Computer Science


Conference15th International Conference, PAAMS 2017

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