Datamodel tuning for scarce resource evaluation

A method comprising:

• in a model simulator hardware processing system:
• providing a model set comprising individually tunable parking models adapted for individual parking characteristics, the individually tunable parking models specific to a pre-selected parking lot;
• with a communication interface, receiving:
• real-world parking sample data for the pre-selected parking lot from an access system physically located at the pre-selected parking lot;
• and
• external input on events beyond the real-world sample data and occurring outside of the pre-selected parking lot;
• providing a data testbed comprising trial data representing the real-world parking sample data and the external inputs;
• and
• executing a stepwise simulator comprising a digital replica of the pre-selected parking lot, where executing includes:
• accepting trial data from the data testbed;
• selecting a target model from among the individually tunable parking models adapted for individual parking characteristics and for the pre-selected parking lot;
• simulating the pre-selected parking lot responsive to the trial data against the digital replica and using the target model;
• generating simulation metrics responsive to simulation of the pre-selected parking lot;
• determining whether the simulation metrics demonstrate improvement beyond a pre-defined update threshold;
• and
• communicating with the access system physically located at the pre-selected parking lot to cause the access system to perform a model update responsive to the simulation metrics demonstrating improvement beyond the pre-defined update threshold.

A system comprising:

• a model set comprising individually tunable parking models adapted for individual parking characteristics, the individually tunable parking models specific to a pre-selected parking lot and including a role specific parking model for a member of an pre-determined enterprise having a pre-determined role within an enterprise;
• a communication interface configured to receive:
• parking sample data for the pre-selected parking lot and for the pre-determined role from an access system physically located at the pre-selected parking lot;
• and
• external input on events happening outside the pre-selected parking lot;
• a data testbed comprising trial data representing the parking sample data and the external inputs;
• and
• a stepwise simulator comprising a digital replica of the pre-selected parking lot, the stepwise simulator configured to:
• accept trial data from the data testbed;
• select the role specific parking model from among the individually tunable parking models;
• simulate the pre-selected parking lot responsive to the trial data against the digital replica and using the role specific parking model;
• generate simulation metrics responsive to simulation of the pre-selected parking lot with the role specific parking model;
• determine whether the simulation metrics demonstrate improvement beyond a pre-defined update threshold;
• and
• communicate with the access system physically located at the pre-selected parking lot to cause the access system to perform a model update responsive to the simulation metrics demonstrating improvement beyond the pre-defined update threshold.