@inproceedings{ddfabb0582c64a5797b31fd25d922d1c,
title = "Multi-Agent Parking Place Simulation",
abstract = "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{\textquoteright} utility.",
author = "Thomas Vrancken and Daniel Tenbrock and Sebastian Reick and Dejan Bozhinovski and Gerhard Weiss and Gerasimos Spanakis",
year = "2017",
month = jun,
day = "3",
doi = "10.1007/978-3-319-59930-4_22",
language = "English",
isbn = "978-3-319-59930-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "272--283",
editor = "Yves Demazeau and Paul Davidsson and Javier Bajo and Zita Vale",
booktitle = "Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection",
address = "United States",
note = "15th International Conference, PAAMS 2017 ; Conference date: 21-06-2017 Through 23-06-2017",
}