Methods, systems, and computing platforms for mobile data communication are disclosed. The processor(s) may be configured to receive a plurality of user mobile parking beacon data and storing the user mobile parking beacon data in a computer readable database for a mobile device. The processor(s) may be configured to process the user mobile parking beacon data with a machine learning processor as to output at least one most probable lane location vector associated with the mobile device. The processor(s) may be configured to electronically output the at least one most probable lane location vector to a parking processing module.

The invention includes a vehicular sensor node, circuit apparatus and their operations. Power from power source is controlled for delivery to radio transceiver and magnetic sensor, based upon a task trigger and task identifier. The radio transceiver and the magnetic sensor are operated based upon the task identifier, when the task trigger is active. The power source, radio transceiver, magnetic sensor, and circuit apparatus are enclosed in vehicular sensor node, placed upon pavement and operating for at least five years without replacing the power source components. Magnetic sensor preferably uses the magnetic resistive effect to create magnetic sensor state. Radio transceiver preferably implements version of a wireless communications protocol. The circuit apparatus may further include light emitting structure to visibly communicate during installation and/or testing, and second light emitting structure used to visibly communicate with vehicle operators. Making filled shell and vehicular sensor node from circuit apparatus.

A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

A navigation device and a method of determining parking information are disclosed. In at least one embodiment, the method includes receiving, at a server, journey information from a plurality of navigation devices, the journey information indicating one or more journeys made by each navigation device and determining, by the server from the journey information, parking information indicating a geographical location of one or more parking areas.

Disclosed is a method and system that receives sensor information from each of a plurality of sensors. Each sensor in the plurality is associated with a vehicle. The sensor information includes location coordinates of each vehicle in the plurality. The sensor information associated with each vehicle in the plurality then is translated to parking statistics information. In one embodiment, the translation is based on an aggregate of sensor information corresponding to the plurality of vehicles. The system then communicates parking statistics information to the vehicle.

A parking guide system may include an entrance sensor, a parking checking sensor configured to identify whether a parking space of the parking lot is occupied by a vehicle, a vehicle detection sensor configured to detect a vehicle, and a controller configured to identify unoccupied parking spaces in the parking lot through the parking checking sensor, to allocate the vehicle recognized by the entrance sensor to one of the unoccupied parking spaces, to identify a location of the vehicle detected by the vehicle detection sensor, and to guide the corresponding vehicle to the parking space through the parking guide unit.

An in-vehicle device includes: an empty stall determiner that determines, based on sensing of surroundings by a sensor section provided in a vehicle, whether or not a parking stall present in surroundings of the vehicle is an empty stall; an empty stall storing section that stores information regarding a location of the empty stall determined by the empty stall determiner in association with a passing route of the vehicle; and an automatic travel controller that generates a travel route from a current location to the empty stall based on the sensing of the surroundings by the sensor section, the automatic travel controller performing control to cause the vehicle to travel along the travel route and be parked in the empty stall in a head-in manner.

The invention relates to a method for determining an occupancy status of a parking bay, wherein a vehicle is moved along a street segment with at least one parking bay and the vehicle has a distance sensor as well as a sensor for satellite-based location and time determination. Furthermore, static parking information on the position of the parking bays in a street segment and parking information on the parking bays are on hand. By means of distance and location data projected distance data are produced which each indicate a distance datum of the distance sensor to the next object in the sensor direction at a point of the street of the street segment at the parking bay. By means of these projected distance data a standard distance is ascertained. Subsequently, for each point of a parking bay the determination is made if this is unoccupied by comparing the distance datum with the standard distance plus a delta. An area of a parking bay is determined as one or several vacant parking spaces if the rounded-down quotient of the length of the adjoining contiguous unoccupied points to the length of an average parking space is 1 or greater.

Methods, systems, and computing platforms for mobile data communication are disclosed. The processor(s) may be configured to receive a plurality of user mobile parking beacon data and storing the user mobile parking beacon data in a computer readable database for a mobile device. The processor(s) may be configured to process the user mobile parking beacon data with a machine learning processor as to output at least one most probable lane location vector associated with the mobile device. The processor(s) may be configured to electronically output the at least one most probable lane location vector to a parking processing module.

Systems and methods for providing meter time notifications to a user are disclosed. The system includes a display, a receiver that receives one or more signals from one or more parking meters via a vehicle-to-infrastructure communication system, the one or more signals including an identification of an occupied parking space and an amount of time remaining before the occupied parking space must be vacated, and a processing device communicatively coupled to the display and to the receiver. The processing device is configured to receive the one or more signals from the receiver, determine the amount of time remaining for one or more occupied parking spaces based on the one or more signals received via the receiver, and cause the display to display an indicator of one or more occupied parking spaces and the associated amount of time remaining.