Abstract: A system and method for recommending pricing using blocking rates and traffic flux. For a given block face, occupancy and traffic flow information are collected and analyzed to determine a blocking rate. The traffic flux for the block face is determined using the collected traffic flow information. External costs, including cost to drivers slowed and cost to drivers blocked from parking are estimated and a cost rate is determined as a function of the blocking rate, the traffic flux, and the external costs. A utility rate is calculated and a price change is recommended based upon a maximization of the utility rate.

Abstract: A system and method for generating an occupancy model are disclosed. The model is learned using occupancy data for zones, each zone including cells, which are occupied or not at a given time, each with a sensor, which may be reporting or not. The data provides an observed occupancy corresponding to a number of cells in the respective zone which have reporting sensors, and the number of those sensors which are reporting that the respective cell is occupied. The occupancy model is based on a demand model and a sensor noise model which accounts for behavior of the non-reporting sensors. The noise model assumes that the probability of a sensor being in the reporting state is dependent on whether the respective cell is occupied or not. The model can fit the occupancy data better than one which assumes that non-reporting cells are occupied with the same frequency as reporting ones.

Abstract: A method for estimating average occupancy of a set of stalls based on incomplete occupancy data includes acquiring payment data for the set of stalls for each of a set of times and acquiring occupancy data for the set of stalls for each of the set of times, the occupancy data being acquired from a reporting subset consisting of fewer than all of the stalls. An estimate of a time integral of a function of occupancy is computed, based on the payment data and occupancy data and information is output based on the estimate.

Abstract: A method and system for determining an optimized price schedule that controls the simplicity of a price schedule while maintaining efficiency in terms of welfare. A welfare function and a simplicity metric representing a simplicity of price schedules are determined. A full objective, corresponding to a comparison of the welfare with respect to the simplicity of each price schedule is determined and an optimized price schedule, representing the schedule having the highest computed full objective, is output.

Abstract: A system and method for generating an occupancy model are disclosed. The model is learned using occupancy data for zones, each zone including cells, which are occupied or not at a given time, each with a sensor, which may be reporting or not. The data provides an observed occupancy corresponding to a number of cells in the respective zone which have reporting sensors, and the number of those sensors which are reporting that the respective cell is occupied. The occupancy model is based on a demand model and a sensor noise model which accounts for behavior of the non-reporting sensors. The noise model assumes that the probability of a sensor being in the reporting state is dependent on whether the respective cell is occupied or not. The model can fit the occupancy data better than one which assumes that non-reporting cells are occupied with the same frequency as reporting ones.