Access control to parking space for different customer segments
- Duration: - 01.05.2024
Funding Organization: Carl-Zeiss-Stiftung
Prof. Dr. Dirk Schweim
Mainz University of Applied SciencesThe aim of this project is to optimise the utilisation of car parks, taking into account different customer segments. On the one hand there are registered customers, who pay a monthly fee and have a guarantee of a free parking space at all times, and public customers, who pay according to their parking time. The latter group of customers is more profitable for car park operators. Accordingly, the aim of the control system is to maximise the number of public customers, but still meet the demand for registered customers.
For this purpose, information on entries and exits of the two user groups is used to derive realistic estimates of the number of entries and the distribution of parking time for each time of day. These estimates are used to make forecasts about the future utilisation of the car park. Any deviations from the forecasts, which occur naturally, are to be regularly compensated for by taking into account continuously recorded behavioural values. The adaptive control should ensure that in the following hours only so many public customers are allowed to enter the car park that the demand for registered customers is covered.
AI Focus Areas of the Research Project
Basic Research
- Machine Learning (ML): Density Estimation, Feature Engineering/Feature Extraction